Distributions: immutable in distribution parameters

src/Numerics/Distributions/Bernoulli.cs

@@ -45,7 +45,7 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _p;
+        readonly double _p;
 
         /// <summary>
         /// Initializes a new instance of the Bernoulli class.
@@ -54,8 +54,13 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentOutOfRangeException">If the Bernoulli parameter is not in the range [0,1].</exception>
         public Bernoulli(double p)
         {
+            if (!IsValidParameterSet(p))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(p);
+            _p = p;
         }
 
         /// <summary>
@@ -66,8 +71,13 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentOutOfRangeException">If the Bernoulli parameter is not in the range [0,1].</exception>
         public Bernoulli(double p, System.Random randomSource)
         {
+            if (!IsValidParameterSet(p))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(p);
+            _p = p;
         }
 
         /// <summary>
@@ -88,28 +98,12 @@ namespace MathNet.Numerics.Distributions
             return p >= 0.0 && p <= 1.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="p">The probability (p) of generating one. Range: 0 ≤ p ≤ 1.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double p)
-        {
-            if (!(p >= 0.0 && p <= 1.0))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _p = p;
-        }
-
         /// <summary>
         /// Gets or sets the probability of generating a one. Range: 0 ≤ p ≤ 1.
         /// </summary>
         public double P
         {
             get { return _p; }
-            set { SetParameters(value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Beta.cs

@@ -53,8 +53,8 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _shapeA;
+        readonly double _shapeA;
-        double _shapeB;
+        readonly double _shapeB;
 
         /// <summary>
         /// Initializes a new instance of the Beta class.
@@ -63,8 +63,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="b">The β shape parameter of the Beta distribution. Range: β ≥ 0.</param>
         public Beta(double a, double b)
         {
+            if (!IsValidParameterSet(a, b))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(a, b);
+            _shapeA = a;
+            _shapeB = b;
         }
 
         /// <summary>
@@ -75,8 +81,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public Beta(double a, double b, System.Random randomSource)
         {
+            if (!IsValidParameterSet(a, b))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(a, b);
+            _shapeA = a;
+            _shapeB = b;
         }
 
         /// <summary>
@@ -98,30 +110,12 @@ namespace MathNet.Numerics.Distributions
             return a >= 0.0 && b >= 0.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="a">The α shape parameter of the Beta distribution. Range: α ≥ 0.</param>
-        /// <param name="b">The β shape parameter of the Beta distribution. Range: β ≥ 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double a, double b)
-        {
-            if (a < 0.0 || b < 0.0 || Double.IsNaN(a) || Double.IsNaN(b))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _shapeA = a;
-            _shapeB = b;
-        }
-
         /// <summary>
         /// Gets or sets the α shape parameter of the Beta distribution. Range: α ≥ 0.
         /// </summary>
         public double A
         {
             get { return _shapeA; }
-            set { SetParameters(value, _shapeB); }
         }
 
         /// <summary>
@@ -130,7 +124,6 @@ namespace MathNet.Numerics.Distributions
         public double B
         {
             get { return _shapeB; }
-            set { SetParameters(_shapeA, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Binomial.cs

@@ -47,8 +47,8 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _p;
+        readonly double _p;
-        int _trials;
+        readonly int _trials;
 
         /// <summary>
         /// Initializes a new instance of the Binomial class.
@@ -59,8 +59,14 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentOutOfRangeException">If <paramref name="n"/> is negative.</exception>
         public Binomial(double p, int n)
         {
+            if (!IsValidParameterSet(p, n))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(p, n);
+            _p = p;
+            _trials = n;
         }
 
         /// <summary>
@@ -73,8 +79,14 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentOutOfRangeException">If <paramref name="n"/> is negative.</exception>
         public Binomial(double p, int n, System.Random randomSource)
         {
+            if (!IsValidParameterSet(p, n))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(p, n);
+            _p = p;
+            _trials = n;
         }
 
         /// <summary>
@@ -96,31 +108,12 @@ namespace MathNet.Numerics.Distributions
             return p >= 0.0 && p <= 1.0 && n >= 0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="p">The success probability (p) in each trial. Range: 0 ≤ p ≤ 1.</param>
-        /// <param name="n">The number of trials (n). Range: n ≥ 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">If <paramref name="p"/> is not in the interval [0.0,1.0].</exception>
-        /// <exception cref="ArgumentOutOfRangeException">If <paramref name="n"/> is negative.</exception>
-        void SetParameters(double p, int n)
-        {
-            if (!(p >= 0.0 && p <= 1.0 && n >= 0))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _p = p;
-            _trials = n;
-        }
-
         /// <summary>
         /// Gets or sets the success probability in each trial. Range: 0 ≤ p ≤ 1.
         /// </summary>
         public double P
         {
             get { return _p; }
-            set { SetParameters(value, _trials); }
         }
 
         /// <summary>
@@ -129,7 +122,6 @@ namespace MathNet.Numerics.Distributions
         public int N
         {
             get { return _trials; }
-            set { SetParameters(_p, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Categorical.cs

@@ -55,8 +55,8 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double[] _pmfNormalized;
+        readonly double[] _pmfNormalized;
-        double[] _cdfUnnormalized;
+        readonly double[] _cdfUnnormalized;
 
         /// <summary>
         /// Initializes a new instance of the Categorical class.
@@ -65,9 +65,8 @@ namespace MathNet.Numerics.Distributions
         /// as this is often impossible using floating point arithmetic.</param>
         /// <exception cref="ArgumentException">If any of the probabilities are negative or do not sum to one.</exception>
         public Categorical(double[] probabilityMass)
+            : this(probabilityMass, SystemRandomSource.Default)
         {
-            _random = SystemRandomSource.Default;
-            SetParameters(probabilityMass);
         }
 
         /// <summary>
@@ -79,8 +78,28 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentException">If any of the probabilities are negative or do not sum to one.</exception>
         public Categorical(double[] probabilityMass, System.Random randomSource)
         {
+            if (Control.CheckDistributionParameters && !IsValidProbabilityMass(probabilityMass))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(probabilityMass);
+
+            // Extract unnormalized cumulative distribution
+            _cdfUnnormalized = new double[probabilityMass.Length];
+            _cdfUnnormalized[0] = probabilityMass[0];
+            for (int i = 1; i < probabilityMass.Length; i++)
+            {
+                _cdfUnnormalized[i] = _cdfUnnormalized[i - 1] + probabilityMass[i];
+            }
+
+            // Extract normalized probability mass
+            var sum = _cdfUnnormalized[_cdfUnnormalized.Length - 1];
+            _pmfNormalized = new double[probabilityMass.Length];
+            for (int i = 0; i < probabilityMass.Length; i++)
+            {
+                _pmfNormalized[i] = probabilityMass[i]/sum;
+            }
         }
 
         /// <summary>
@@ -106,7 +125,27 @@ namespace MathNet.Numerics.Distributions
             }
 
             _random = SystemRandomSource.Default;
-            SetParameters(p);
+
+            if (Control.CheckDistributionParameters && !IsValidProbabilityMass(p))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
+            // Extract unnormalized cumulative distribution
+            _cdfUnnormalized = new double[p.Length];
+            _cdfUnnormalized[0] = p[0];
+            for (int i1 = 1; i1 < p.Length; i1++)
+            {
+                _cdfUnnormalized[i1] = _cdfUnnormalized[i1 - 1] + p[i1];
+            }
+
+            // Extract normalized probability mass
+            var sum = _cdfUnnormalized[_cdfUnnormalized.Length - 1];
+            _pmfNormalized = new double[p.Length];
+            for (int i2 = 0; i2 < p.Length; i2++)
+            {
+                _pmfNormalized[i2] = p[i2]/sum;
+            }
         }
 
         /// <summary>
@@ -162,36 +201,6 @@ namespace MathNet.Numerics.Distributions
             return last > 0.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="p">An array of nonnegative ratios: this array does not need to be normalized
-        /// as this is often impossible using floating point arithmetic.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double[] p)
-        {
-            if (Control.CheckDistributionParameters && !IsValidProbabilityMass(p))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            // Extract unnormalized cumulative distribution
-            _cdfUnnormalized = new double[p.Length];
-            _cdfUnnormalized[0] = p[0];
-            for (int i = 1; i < p.Length; i++)
-            {
-                _cdfUnnormalized[i] = _cdfUnnormalized[i - 1] + p[i];
-            }
-
-            // Extract normalized probability mass
-            var sum = _cdfUnnormalized[_cdfUnnormalized.Length - 1];
-            _pmfNormalized = new double[p.Length];
-            for (int i = 0; i < p.Length; i++)
-            {
-                _pmfNormalized[i] = p[i]/sum;
-            }
-        }
-
         /// <summary>
         /// Gets or sets the probability mass vector (non-negative ratios) of the multinomial.
         /// </summary>
@@ -199,7 +208,6 @@ namespace MathNet.Numerics.Distributions
         public double[] P
         {
             get { return (double[])_pmfNormalized.Clone(); }
-            set { SetParameters(value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Cauchy.cs

@@ -45,8 +45,8 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _location;
+        readonly double _location;
-        double _scale;
+        readonly double _scale;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="Cauchy"/> class with the location parameter set to 0 and the scale parameter set to 1
@@ -62,8 +62,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="scale">The scale (γ) of the distribution. Range: γ > 0.</param>
         public Cauchy(double location, double scale)
         {
+            if (!IsValidParameterSet(location, scale))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(location, scale);
+            _location = location;
+            _scale = scale;
         }
 
         /// <summary>
@@ -74,8 +80,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public Cauchy(double location, double scale, System.Random randomSource)
         {
+            if (!IsValidParameterSet(location, scale))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(location, scale);
+            _location = location;
+            _scale = scale;
         }
 
         /// <summary>
@@ -97,30 +109,12 @@ namespace MathNet.Numerics.Distributions
             return scale > 0.0 && !Double.IsNaN(location);
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="location">The location (x0) of the distribution.</param>
-        /// <param name="scale">The scale (γ) of the distribution. Range: γ > 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double location, double scale)
-        {
-            if (scale <= 0.0 || Double.IsNaN(location) || Double.IsNaN(scale))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _location = location;
-            _scale = scale;
-        }
-
         /// <summary>
         /// Gets or sets the location  (x0) of the distribution.
         /// </summary>
         public double Location
         {
             get { return _location; }
-            set { SetParameters(value, _scale); }
         }
 
         /// <summary>
@@ -129,7 +123,6 @@ namespace MathNet.Numerics.Distributions
         public double Scale
         {
             get { return _scale; }
-            set { SetParameters(_location, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Chi.cs

@@ -46,7 +46,7 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _freedom;
+        readonly double _freedom;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="Chi"/> class.
@@ -54,8 +54,13 @@ namespace MathNet.Numerics.Distributions
         /// <param name="freedom">The degrees of freedom (k) of the distribution. Range: k > 0.</param>
         public Chi(double freedom)
         {
+            if (!IsValidParameterSet(freedom))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(freedom);
+            _freedom = freedom;
         }
 
         /// <summary>
@@ -65,8 +70,13 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public Chi(double freedom, System.Random randomSource)
         {
+            if (!IsValidParameterSet(freedom))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(freedom);
+            _freedom = freedom;
         }
 
         /// <summary>
@@ -87,28 +97,12 @@ namespace MathNet.Numerics.Distributions
             return freedom > 0.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="freedom">The degrees of freedom (k) of the distribution. Range: k > 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double freedom)
-        {
-            if (freedom <= 0.0 || Double.IsNaN(freedom))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _freedom = freedom;
-        }
-
         /// <summary>
         /// Gets or sets the degrees of freedom (k) of the Chi distribution. Range: k > 0.
         /// </summary>
         public double DegreesOfFreedom
         {
             get { return _freedom; }
-            set { SetParameters(value); }
         }
 
         /// <summary>

src/Numerics/Distributions/ChiSquared.cs

@@ -44,7 +44,7 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _freedom;
+        readonly double _freedom;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="ChiSquared"/> class.
@@ -52,8 +52,13 @@ namespace MathNet.Numerics.Distributions
         /// <param name="freedom">The degrees of freedom (k) of the distribution. Range: k > 0.</param>
         public ChiSquared(double freedom)
         {
+            if (!IsValidParameterSet(freedom))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(freedom);
+            _freedom = freedom;
         }
 
         /// <summary>
@@ -63,8 +68,13 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public ChiSquared(double freedom, System.Random randomSource)
         {
+            if (!IsValidParameterSet(freedom))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(freedom);
+            _freedom = freedom;
         }
 
         /// <summary>
@@ -85,28 +95,12 @@ namespace MathNet.Numerics.Distributions
             return freedom > 0.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="freedom">The degrees of freedom (k) of the distribution. Range: k > 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double freedom)
-        {
-            if (freedom <= 0.0 || Double.IsNaN(freedom))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _freedom = freedom;
-        }
-
         /// <summary>
         /// Gets or sets the degrees of freedom (k) of the Chi-Squared distribution. Range: k > 0.
         /// </summary>
         public double DegreesOfFreedom
         {
             get { return _freedom; }
-            set { SetParameters(value); }
         }
 
         /// <summary>

src/Numerics/Distributions/ContinuousUniform.cs

@@ -45,8 +45,8 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _lower;
+        readonly double _lower;
-        double _upper;
+        readonly double _upper;
 
         /// <summary>
         /// Initializes a new instance of the ContinuousUniform class with lower bound 0 and upper bound 1.
@@ -63,8 +63,14 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentException">If the upper bound is smaller than the lower bound.</exception>
         public ContinuousUniform(double lower, double upper)
         {
+            if (!IsValidParameterSet(lower, upper))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(lower, upper);
+            _lower = lower;
+            _upper = upper;
         }
 
         /// <summary>
@@ -76,8 +82,14 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentException">If the upper bound is smaller than the lower bound.</exception>
         public ContinuousUniform(double lower, double upper, System.Random randomSource)
         {
+            if (!IsValidParameterSet(lower, upper))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(lower, upper);
+            _lower = lower;
+            _upper = upper;
         }
 
         /// <summary>
@@ -96,24 +108,7 @@ namespace MathNet.Numerics.Distributions
         /// <param name="upper">Upper bound. Range: lower ≤ upper.</param>
         public static bool IsValidParameterSet(double lower, double upper)
         {
-            return lower <= upper && !Double.IsInfinity(lower) && !Double.IsInfinity(upper);
+            return lower <= upper;
-        }
-
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="lower">Lower bound. Range: lower ≤ upper.</param>
-        /// <param name="upper">Upper bound. Range: lower ≤ upper.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double lower, double upper)
-        {
-            if (upper < lower || Double.IsNaN(upper) || Double.IsNaN(lower))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _lower = lower;
-            _upper = upper;
         }
 
         /// <summary>
@@ -122,7 +117,6 @@ namespace MathNet.Numerics.Distributions
         public double LowerBound
         {
             get { return _lower; }
-            set { SetParameters(value, _upper); }
         }
 
         /// <summary>
@@ -131,7 +125,6 @@ namespace MathNet.Numerics.Distributions
         public double UpperBound
         {
             get { return _upper; }
-            set { SetParameters(_lower, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/ConwayMaxwellPoisson.cs

@@ -51,8 +51,8 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _lambda;
+        readonly double _lambda;
-        double _nu;
+        readonly double _nu;
 
         /// <summary>
         /// The mean of the distribution.
@@ -82,8 +82,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="nu">The rate of decay (ν) parameter. Range: ν ≥ 0.</param>
         public ConwayMaxwellPoisson(double lambda, double nu)
         {
+            if (!IsValidParameterSet(lambda, nu))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(lambda, nu);
+            _lambda = lambda;
+            _nu = nu;
         }
 
         /// <summary>
@@ -94,8 +100,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public ConwayMaxwellPoisson(double lambda, double nu, System.Random randomSource)
         {
+            if (!IsValidParameterSet(lambda, nu))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(lambda, nu);
+            _lambda = lambda;
+            _nu = nu;
         }
 
         /// <summary>
@@ -117,30 +129,12 @@ namespace MathNet.Numerics.Distributions
             return lambda > 0.0 && nu >= 0.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="lambda">The lambda (λ) parameter. Range: λ > 0.</param>
-        /// <param name="nu">The rate of decay (ν) parameter. Range: ν ≥ 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double lambda, double nu)
-        {
-            if (!(lambda > 0.0 && nu >= 0.0))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _lambda = lambda;
-            _nu = nu;
-        }
-
         /// <summary>
         /// Gets or sets the lambda (λ) parameter. Range: λ > 0.
         /// </summary>
         public double Lambda
         {
             get { return _lambda; }
-            set { SetParameters(value, _nu); }
         }
 
         /// <summary>
@@ -149,7 +143,6 @@ namespace MathNet.Numerics.Distributions
         public double Nu
         {
             get { return _nu; }
-            set { SetParameters(_lambda, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Dirichlet.cs

@@ -43,7 +43,7 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double[] _alpha;
+        readonly double[] _alpha;
 
         /// <summary>
         /// Initializes a new instance of the Dirichlet class. The distribution will
@@ -52,8 +52,13 @@ namespace MathNet.Numerics.Distributions
         /// <param name="alpha">An array with the Dirichlet parameters.</param>
         public Dirichlet(double[] alpha)
         {
+            if (Control.CheckDistributionParameters && !IsValidParameterSet(alpha))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(alpha);
+            _alpha = (double[]) alpha.Clone();
         }
 
         /// <summary>
@@ -64,8 +69,13 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public Dirichlet(double[] alpha, System.Random randomSource)
         {
+            if (Control.CheckDistributionParameters && !IsValidParameterSet(alpha))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(alpha);
+            _alpha = (double[]) alpha.Clone();
         }
 
         /// <summary>
@@ -83,7 +93,12 @@ namespace MathNet.Numerics.Distributions
             }
 
             _random = SystemRandomSource.Default;
-            SetParameters(parm);
+            if (Control.CheckDistributionParameters && !IsValidParameterSet(parm))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
+            _alpha = (double[]) parm.Clone();
         }
 
         /// <summary>
@@ -102,7 +117,12 @@ namespace MathNet.Numerics.Distributions
             }
 
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(parm);
+            if (Control.CheckDistributionParameters && !IsValidParameterSet(parm))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
+            _alpha = (double[]) parm.Clone();
         }
 
         /// <summary>
@@ -135,28 +155,12 @@ namespace MathNet.Numerics.Distributions
             return !allzero;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="alpha">The parameters of the Dirichlet distribution.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double[] alpha)
-        {
-            if (Control.CheckDistributionParameters && !IsValidParameterSet(alpha))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _alpha = (double[]) alpha.Clone();
-        }
-
         /// <summary>
         /// Gets or sets the parameters of the Dirichlet distribution.
         /// </summary>
         public double[] Alpha
         {
             get { return _alpha; }
-            set { SetParameters(value); }
         }
 
         /// <summary>

src/Numerics/Distributions/DiscreteUniform.cs

@@ -45,8 +45,8 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        int _lower;
+        readonly int _lower;
-        int _upper;
+        readonly int _upper;
 
         /// <summary>
         /// Initializes a new instance of the DiscreteUniform class.
@@ -55,8 +55,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="upper">Upper bound. Range: lower ≤ upper.</param>
         public DiscreteUniform(int lower, int upper)
         {
+            if (!IsValidParameterSet(lower, upper))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(lower, upper);
+            _lower = lower;
+            _upper = upper;
         }
 
         /// <summary>
@@ -67,8 +73,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public DiscreteUniform(int lower, int upper, System.Random randomSource)
         {
+            if (!IsValidParameterSet(lower, upper))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(lower, upper);
+            _lower = lower;
+            _upper = upper;
         }
 
         /// <summary>
@@ -92,30 +104,12 @@ namespace MathNet.Numerics.Distributions
             return lower <= upper;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="lower">Lower bound. Range: lower ≤ upper.</param>
-        /// <param name="upper">Upper bound. Range: lower ≤ upper.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(int lower, int upper)
-        {
-            if (!(lower <= upper))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _lower = lower;
-            _upper = upper;
-        }
-
         /// <summary>
         /// Gets or sets the lower bound of the probability distribution.
         /// </summary>
         public int LowerBound
         {
             get { return _lower; }
-            set { SetParameters(value, _upper); }
         }
 
         /// <summary>
@@ -124,7 +118,6 @@ namespace MathNet.Numerics.Distributions
         public int UpperBound
         {
             get { return _upper; }
-            set { SetParameters(_lower, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Erlang.cs

@@ -45,8 +45,8 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _shape;
+        readonly double _shape;
-        double _rate;
+        readonly double _rate;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="Erlang"/> class.
@@ -55,8 +55,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="rate">The rate or inverse scale (λ) of the Erlang distribution. Range: λ ≥ 0.</param>
         public Erlang(int shape, double rate)
         {
+            if (!IsValidParameterSet(shape, rate))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(shape, rate);
+            _shape = shape;
+            _rate = rate;
         }
 
         /// <summary>
@@ -67,8 +73,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public Erlang(int shape, double rate, System.Random randomSource)
         {
+            if (!IsValidParameterSet(shape, rate))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(shape, rate);
+            _shape = shape;
+            _rate = rate;
         }
 
         /// <summary>
@@ -114,30 +126,12 @@ namespace MathNet.Numerics.Distributions
             return shape >= 0.0 && rate >= 0.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="shape">The shape (k) of the Erlang distribution. Range: k ≥ 0.</param>
-        /// <param name="rate">The rate or inverse scale (λ) of the Erlang distribution. Range: λ ≥ 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double shape, double rate)
-        {
-            if (shape < 0.0 || rate < 0.0 || Double.IsNaN(shape) || Double.IsNaN(rate))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _shape = shape;
-            _rate = rate;
-        }
-
         /// <summary>
         /// Gets or sets the shape (k) of the Erlang distribution. Range: k ≥ 0.
         /// </summary>
         public int Shape
         {
             get { return (int)_shape; }
-            set { SetParameters(value, _rate); }
         }
 
         /// <summary>
@@ -146,7 +140,6 @@ namespace MathNet.Numerics.Distributions
         public double Rate
         {
             get { return _rate; }
-            set { SetParameters(_shape, value); }
         }
 
         /// <summary>
@@ -155,15 +148,6 @@ namespace MathNet.Numerics.Distributions
         public double Scale
         {
             get { return 1.0 / _rate; }
-            set
-            {
-                var invScale = 1.0 / value;
-                if (Double.IsNegativeInfinity(invScale))
-                {
-                    invScale = -invScale;
-                }
-                SetParameters(_shape, invScale);
-            }
         }
 
         /// <summary>

src/Numerics/Distributions/Exponential.cs

@@ -46,7 +46,7 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _rate;
+        readonly double _rate;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="Exponential"/> class.
@@ -54,8 +54,13 @@ namespace MathNet.Numerics.Distributions
         /// <param name="rate">The rate (λ) parameter of the distribution. Range: λ ≥ 0.</param>
         public Exponential(double rate)
         {
+            if (!IsValidParameterSet(rate))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(rate);
+            _rate = rate;
         }
 
         /// <summary>
@@ -65,8 +70,13 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public Exponential(double rate, System.Random randomSource)
         {
+            if (!IsValidParameterSet(rate))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(rate);
+            _rate = rate;
         }
 
         /// <summary>
@@ -87,28 +97,12 @@ namespace MathNet.Numerics.Distributions
             return rate >= 0.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="rate">The rate (λ) parameter of the distribution. Range: λ ≥ 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double rate)
-        {
-            if (rate < 0.0 || Double.IsNaN(rate))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _rate = rate;
-        }
-
         /// <summary>
         /// Gets or sets the rate (λ) parameter of the distribution. Range: λ ≥ 0.
         /// </summary>
         public double Rate
         {
             get { return _rate; }
-            set { SetParameters(value); }
         }
 
         /// <summary>

src/Numerics/Distributions/FisherSnedecor.cs

@@ -45,8 +45,8 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _freedom1;
+        readonly double _freedom1;
-        double _freedom2;
+        readonly double _freedom2;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="FisherSnedecor"/> class.
@@ -55,8 +55,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="d2">The second degree of freedom (d2) of the distribution. Range: d2 > 0.</param>
         public FisherSnedecor(double d1, double d2)
         {
+            if (!IsValidParameterSet(d1, d2))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(d1, d2);
+            _freedom1 = d1;
+            _freedom2 = d2;
         }
 
         /// <summary>
@@ -67,8 +73,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public FisherSnedecor(double d1, double d2, System.Random randomSource)
         {
+            if (!IsValidParameterSet(d1, d2))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(d1, d2);
+            _freedom1 = d1;
+            _freedom2 = d2;
         }
 
         /// <summary>
@@ -90,30 +102,12 @@ namespace MathNet.Numerics.Distributions
             return d1 > 0.0 && d2 > 0.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="d1">The first degree of freedom (d1) of the distribution. Range: d1 > 0.</param>
-        /// <param name="d2">The second degree of freedom (d2) of the distribution. Range: d2 > 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double d1, double d2)
-        {
-            if (d1 <= 0.0 || d2 <= 0.0 || Double.IsNaN(d1) || Double.IsNaN(d2))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _freedom1 = d1;
-            _freedom2 = d2;
-        }
-
         /// <summary>
         /// Gets or sets the first degree of freedom (d1) of the distribution. Range: d1 > 0.
         /// </summary>
         public double DegreesOfFreedom1
         {
             get { return _freedom1; }
-            set { SetParameters(value, _freedom2); }
         }
 
         /// <summary>
@@ -122,7 +116,6 @@ namespace MathNet.Numerics.Distributions
         public double DegreesOfFreedom2
         {
             get { return _freedom2; }
-            set { SetParameters(_freedom1, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Gamma.cs

@@ -54,8 +54,8 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _shape;
+        readonly double _shape;
-        double _rate;
+        readonly double _rate;
 
         /// <summary>
         /// Initializes a new instance of the Gamma class.
@@ -64,8 +64,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="rate">The rate or inverse scale (β) of the Gamma distribution. Range: β ≥ 0.</param>
         public Gamma(double shape, double rate)
         {
+            if (!IsValidParameterSet(shape, rate))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(shape, rate);
+            _shape = shape;
+            _rate = rate;
         }
 
         /// <summary>
@@ -76,8 +82,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public Gamma(double shape, double rate, System.Random randomSource)
         {
+            if (!IsValidParameterSet(shape, rate))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(shape, rate);
+            _shape = shape;
+            _rate = rate;
         }
 
         /// <summary>
@@ -123,30 +135,12 @@ namespace MathNet.Numerics.Distributions
             return shape >= 0.0 && rate >= 0.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="shape">The shape (k, α) of the Gamma distribution. Range: α ≥ 0.</param>
-        /// <param name="rate">The rate or inverse scale (β) of the Gamma distribution. Range: β ≥ 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double shape, double rate)
-        {
-            if (shape < 0.0 || rate < 0.0 || Double.IsNaN(shape) || Double.IsNaN(rate))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _shape = shape;
-            _rate = rate;
-        }
-
         /// <summary>
         /// Gets or sets the shape (k, α) of the Gamma distribution. Range: α ≥ 0.
         /// </summary>
         public double Shape
         {
             get { return _shape; }
-            set { SetParameters(value, _rate); }
         }
 
         /// <summary>
@@ -155,7 +149,6 @@ namespace MathNet.Numerics.Distributions
         public double Rate
         {
             get { return _rate; }
-            set { SetParameters(_shape, value); }
         }
 
         /// <summary>
@@ -164,15 +157,6 @@ namespace MathNet.Numerics.Distributions
         public double Scale
         {
             get { return 1.0 / _rate; }
-            set
-            {
-                var rate = 1.0 / value;
-                if (Double.IsNegativeInfinity(rate))
-                {
-                    rate = -rate;
-                }
-                SetParameters(_shape, rate);
-            }
         }
 
         /// <summary>

src/Numerics/Distributions/Geometric.cs

@@ -45,7 +45,7 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _p;
+        readonly double _p;
 
         /// <summary>
         /// Initializes a new instance of the Geometric class.
@@ -53,8 +53,13 @@ namespace MathNet.Numerics.Distributions
         /// <param name="p">The probability (p) of generating one. Range: 0 ≤ p ≤ 1.</param>
         public Geometric(double p)
         {
+            if (!IsValidParameterSet(p))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(p);
+            _p = p;
         }
 
         /// <summary>
@@ -64,8 +69,13 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public Geometric(double p, System.Random randomSource)
         {
+            if (!IsValidParameterSet(p))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(p);
+            _p = p;
         }
 
         /// <summary>
@@ -86,28 +96,12 @@ namespace MathNet.Numerics.Distributions
             return p >= 0.0 && p <= 1.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="p">The probability (p) of generating one. Range: 0 ≤ p ≤ 1.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double p)
-        {
-            if (!(p >= 0.0 && p <= 1.0))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _p = p;
-        }
-
         /// <summary>
         /// Gets or sets the probability of generating a one. Range: 0 ≤ p ≤ 1.
         /// </summary>
         public double P
         {
             get { return _p; }
-            set { SetParameters(value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Hypergeometric.cs

@@ -46,9 +46,9 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        int _population;
+        readonly int _population;
-        int _success;
+        readonly int _success;
-        int _draws;
+        readonly int _draws;
 
         /// <summary>
         /// Initializes a new instance of the Hypergeometric class.
@@ -58,8 +58,15 @@ namespace MathNet.Numerics.Distributions
         /// <param name="draws">The number of draws without replacement (n).</param>
         public Hypergeometric(int population, int success, int draws)
         {
+            if (!IsValidParameterSet(population, success, draws))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(population, success, draws);
+            _population = population;
+            _success = success;
+            _draws = draws;
         }
 
         /// <summary>
@@ -71,8 +78,15 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public Hypergeometric(int population, int success, int draws, System.Random randomSource)
         {
+            if (!IsValidParameterSet(population, success, draws))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(population, success, draws);
+            _population = population;
+            _success = success;
+            _draws = draws;
         }
 
         /// <summary>
@@ -97,25 +111,6 @@ namespace MathNet.Numerics.Distributions
             return population >= 0 && success >= 0 && draws >= 0 && success <= population && draws <= population;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="population">The size of the population (N).</param>
-        /// <param name="success">The number successes within the population (K, M).</param>
-        /// <param name="draws">The number of draws without replacement (n).</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(int population, int success, int draws)
-        {
-            if (!(population >= 0 && success >= 0 && draws >= 0 && success <= population && draws <= population))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _population = population;
-            _success = success;
-            _draws = draws;
-        }
-
         /// <summary>
         /// Gets or sets the random number generator which is used to draw random samples.
         /// </summary>
@@ -131,7 +126,6 @@ namespace MathNet.Numerics.Distributions
         public int Population
         {
             get { return _population; }
-            set { SetParameters(value, _success, _draws); }
         }
 
         /// <summary>
@@ -140,7 +134,6 @@ namespace MathNet.Numerics.Distributions
         public int Draws
         {
             get { return _draws; }
-            set { SetParameters(_population, value, _draws); }
         }
 
         /// <summary>
@@ -149,37 +142,6 @@ namespace MathNet.Numerics.Distributions
         public int Success
         {
             get { return _success; }
-            set { SetParameters(_population, _success, value); }
-        }
-
-        /// <summary>
-        /// Gets or sets the size of the population (N).
-        /// </summary>
-        [Obsolete("Use Population instead. Scheduled for removal in v3.0.")]
-        public int PopulationSize
-        {
-            get { return _population; }
-            set { SetParameters(value, _success, _draws); }
-        }
-
-        /// <summary>
-        /// Gets or sets the number of draws without replacement (n).
-        /// </summary>
-        [Obsolete("Use Draws instead. Scheduled for removal in v3.0.")]
-        public int N
-        {
-            get { return _draws; }
-            set { SetParameters(_population, value, _draws); }
-        }
-
-        /// <summary>
-        /// Gets or sets the number successes within the population (K, M).
-        /// </summary>
-        [Obsolete("Use Success instead. Scheduled for removal in v3.0.")]
-        public int M
-        {
-            get { return _success; }
-            set { SetParameters(_population, _success, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/InverseGamma.cs

@@ -46,8 +46,8 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _shape;
+        readonly double _shape;
-        double _scale;
+        readonly double _scale;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="InverseGamma"/> class.
@@ -56,8 +56,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="scale">The scale (β) of the distribution. Range: β > 0.</param>
         public InverseGamma(double shape, double scale)
         {
+            if (!IsValidParameterSet(shape, scale))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(shape, scale);
+            _shape = shape;
+            _scale = scale;
         }
 
         /// <summary>
@@ -68,8 +74,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public InverseGamma(double shape, double scale, System.Random randomSource)
         {
+            if (!IsValidParameterSet(shape, scale))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(shape, scale);
+            _shape = shape;
+            _scale = scale;
         }
 
         /// <summary>
@@ -91,30 +103,12 @@ namespace MathNet.Numerics.Distributions
             return shape > 0.0 && scale > 0.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="shape">The shape (α) of the distribution. Range: α > 0.</param>
-        /// <param name="scale">The scale (β) of the distribution. Range: β > 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double shape, double scale)
-        {
-            if (shape <= 0.0 || scale <= 0.0 || Double.IsNaN(shape) || Double.IsNaN(scale))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _shape = shape;
-            _scale = scale;
-        }
-
         /// <summary>
         /// Gets or sets the shape (α) parameter. Range: α > 0.
         /// </summary>
         public double Shape
         {
             get { return _shape; }
-            set { SetParameters(value, _scale); }
         }
 
         /// <summary>
@@ -123,7 +117,6 @@ namespace MathNet.Numerics.Distributions
         public double Scale
         {
             get { return _scale; }
-            set { SetParameters(_shape, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/InverseWishart.cs

@@ -46,13 +46,13 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _freedom;
+        readonly double _freedom;
-        Matrix<double> _scale;
+        readonly Matrix<double> _scale;
 
         /// <summary>
         /// Caches the Cholesky factorization of the scale matrix.
         /// </summary>
-        Cholesky<double> _chol;
+        readonly Cholesky<double> _chol;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="InverseWishart"/> class.
@@ -61,8 +61,15 @@ namespace MathNet.Numerics.Distributions
         /// <param name="scale">The scale matrix (Ψ) for the inverse Wishart distribution.</param>
         public InverseWishart(double degreesOfFreedom, Matrix<double> scale)
         {
+            if (Control.CheckDistributionParameters && !IsValidParameterSet(degreesOfFreedom, scale))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(degreesOfFreedom, scale);
+            _freedom = degreesOfFreedom;
+            _scale = scale;
+            _chol = _scale.Cholesky();
         }
 
         /// <summary>
@@ -73,8 +80,15 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public InverseWishart(double degreesOfFreedom, Matrix<double> scale, System.Random randomSource)
         {
+            if (Control.CheckDistributionParameters && !IsValidParameterSet(degreesOfFreedom, scale))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(degreesOfFreedom, scale);
+            _freedom = degreesOfFreedom;
+            _scale = scale;
+            _chol = _scale.Cholesky();
         }
 
         /// <summary>
@@ -109,31 +123,12 @@ namespace MathNet.Numerics.Distributions
             return degreesOfFreedom > 0.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="degreesOfFreedom">The degree of freedom (ν) for the inverse Wishart distribution.</param>
-        /// <param name="scale">The scale matrix (Ψ) for the inverse Wishart distribution.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double degreesOfFreedom, Matrix<double> scale)
-        {
-            if (Control.CheckDistributionParameters && !IsValidParameterSet(degreesOfFreedom, scale))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _freedom = degreesOfFreedom;
-            _scale = scale;
-            _chol = _scale.Cholesky();
-        }
-
         /// <summary>
         /// Gets or sets the degree of freedom (ν) for the inverse Wishart distribution.
         /// </summary>
         public double DegreesOfFreedom
         {
             get { return _freedom; }
-            set { SetParameters(value, _scale); }
         }
 
         /// <summary>
@@ -142,7 +137,6 @@ namespace MathNet.Numerics.Distributions
         public Matrix<double> Scale
         {
             get { return _scale; }
-            set { SetParameters(_freedom, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Laplace.cs

@@ -46,8 +46,8 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _location;
+        readonly double _location;
-        double _scale;
+        readonly double _scale;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="Laplace"/> class (location = 0, scale = 1).
@@ -65,8 +65,14 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentException">If <paramref name="scale"/> is negative.</exception>
         public Laplace(double location, double scale)
         {
+            if (!IsValidParameterSet(location, scale))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(location, scale);
+            _location = location;
+            _scale = scale;
         }
 
         /// <summary>
@@ -78,8 +84,14 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentException">If <paramref name="scale"/> is negative.</exception>
         public Laplace(double location, double scale, System.Random randomSource)
         {
+            if (!IsValidParameterSet(location, scale))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(location, scale);
+            _location = location;
+            _scale = scale;
         }
 
         /// <summary>
@@ -101,30 +113,12 @@ namespace MathNet.Numerics.Distributions
             return scale > 0.0 && !Double.IsNaN(location);
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="location">The location (μ) of the distribution.</param>
-        /// <param name="scale">The scale (b) of the distribution. Range: b > 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double location, double scale)
-        {
-            if (scale <= 0.0 || Double.IsNaN(location) || Double.IsNaN(scale))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _location = location;
-            _scale = scale;
-        }
-
         /// <summary>
         /// Gets or sets the location (μ) of the Laplace distribution.
         /// </summary>
         public double Location
         {
             get { return _location; }
-            set { SetParameters(value, _scale); }
         }
 
         /// <summary>
@@ -133,7 +127,6 @@ namespace MathNet.Numerics.Distributions
         public double Scale
         {
             get { return _scale; }
-            set { SetParameters(_location, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/LogNormal.cs

@@ -47,8 +47,8 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _mu;
+        readonly double _mu;
-        double _sigma;
+        readonly double _sigma;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="LogNormal"/> class.
@@ -59,8 +59,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="sigma">The shape (σ) of the logarithm of the distribution. Range: σ ≥ 0.</param>
         public LogNormal(double mu, double sigma)
         {
+            if (!IsValidParameterSet(mu, sigma))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(mu, sigma);
+            _mu = mu;
+            _sigma = sigma;
         }
 
         /// <summary>
@@ -73,8 +79,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public LogNormal(double mu, double sigma, System.Random randomSource)
         {
+            if (!IsValidParameterSet(mu, sigma))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(mu, sigma);
+            _mu = mu;
+            _sigma = sigma;
         }
 
         /// <summary>
@@ -134,30 +146,12 @@ namespace MathNet.Numerics.Distributions
             return sigma >= 0.0 && !Double.IsNaN(mu);
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="mu">The log-scale (μ) of the distribution.</param>
-        /// <param name="sigma">The shape (σ) of the distribution. Range: σ ≥ 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double mu, double sigma)
-        {
-            if (sigma < 0.0 || Double.IsNaN(mu) || Double.IsNaN(sigma))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _mu = mu;
-            _sigma = sigma;
-        }
-
         /// <summary>
         /// Gets or sets the log-scale (μ) (mean of the logarithm) of the distribution.
         /// </summary>
         public double Mu
         {
             get { return _mu; }
-            set { SetParameters(value, _sigma); }
         }
 
         /// <summary>
@@ -166,7 +160,6 @@ namespace MathNet.Numerics.Distributions
         public double Sigma
         {
             get { return _sigma; }
-            set { SetParameters(_mu, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/MatrixNormal.cs

@@ -49,17 +49,17 @@ namespace MathNet.Numerics.Distributions
         /// <summary>
         /// The mean of the matrix normal distribution.
         /// </summary>
-        Matrix<double> _m;
+        readonly Matrix<double> _m;
 
         /// <summary>
         /// The covariance matrix for the rows.
         /// </summary>
-        Matrix<double> _v;
+        readonly Matrix<double> _v;
 
         /// <summary>
         /// The covariance matrix for the columns.
         /// </summary>
-        Matrix<double> _k;
+        readonly Matrix<double> _k;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="MatrixNormal"/> class.
@@ -70,8 +70,15 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentOutOfRangeException">If the dimensions of the mean and two covariance matrices don't match.</exception>
         public MatrixNormal(Matrix<double> m, Matrix<double> v, Matrix<double> k)
         {
+            if (Control.CheckDistributionParameters && !IsValidParameterSet(m, v, k))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(m, v, k);
+            _m = m;
+            _v = v;
+            _k = k;
         }
 
         /// <summary>
@@ -84,8 +91,15 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentOutOfRangeException">If the dimensions of the mean and two covariance matrices don't match.</exception>
         public MatrixNormal(Matrix<double> m, Matrix<double> v, Matrix<double> k, System.Random randomSource)
         {
+            if (Control.CheckDistributionParameters && !IsValidParameterSet(m, v, k))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(m, v, k);
+            _m = m;
+            _v = v;
+            _k = k;
         }
 
         /// <summary>
@@ -138,25 +152,6 @@ namespace MathNet.Numerics.Distributions
             return true;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="m">The mean of the matrix normal.</param>
-        /// <param name="v">The covariance matrix for the rows.</param>
-        /// <param name="k">The covariance matrix for the columns.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(Matrix<double> m, Matrix<double> v, Matrix<double> k)
-        {
-            if (Control.CheckDistributionParameters && !IsValidParameterSet(m, v, k))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _m = m;
-            _v = v;
-            _k = k;
-        }
-
         /// <summary>
         /// Gets or sets the mean. (M)
         /// </summary>
@@ -164,7 +159,6 @@ namespace MathNet.Numerics.Distributions
         public Matrix<double> Mean
         {
             get { return _m; }
-            set { SetParameters(value, _v, _k); }
         }
 
         /// <summary>
@@ -174,7 +168,6 @@ namespace MathNet.Numerics.Distributions
         public Matrix<double> RowCovariance
         {
             get { return _v; }
-            set { SetParameters(_m, value, _k); }
         }
 
         /// <summary>
@@ -184,7 +177,6 @@ namespace MathNet.Numerics.Distributions
         public Matrix<double> ColumnCovariance
         {
             get { return _k; }
-            set { SetParameters(_m, _v, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Multinomial.cs

@@ -55,12 +55,12 @@ namespace MathNet.Numerics.Distributions
         /// <summary>
         /// Stores the normalized multinomial probabilities.
         /// </summary>
-        double[] _p;
+        readonly double[] _p;
 
         /// <summary>
         /// The number of trials.
         /// </summary>
-        int _trials;
+        readonly int _trials;
 
         /// <summary>
         /// Initializes a new instance of the Multinomial class.
@@ -72,8 +72,14 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentOutOfRangeException">If <paramref name="n"/> is negative.</exception>
         public Multinomial(double[] p, int n)
         {
+            if (Control.CheckDistributionParameters && !IsValidParameterSet(p, n))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(p, n);
+            _p = (double[]) p.Clone();
+            _trials = n;
         }
 
         /// <summary>
@@ -87,8 +93,14 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentOutOfRangeException">If <paramref name="n"/> is negative.</exception>
         public Multinomial(double[] p, int n, System.Random randomSource)
         {
+            if (Control.CheckDistributionParameters && !IsValidParameterSet(p, n))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(p, n);
+            _p = (double[]) p.Clone();
+            _trials = n;
         }
 
         /// <summary>
@@ -115,7 +127,13 @@ namespace MathNet.Numerics.Distributions
                 p[i] = h[i].Count;
             }
 
-            SetParameters(p, n);
+            if (Control.CheckDistributionParameters && !IsValidParameterSet(p, n))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
+            _p = (double[]) p.Clone();
+            _trials = n;
             RandomSource = SystemRandomSource.Default;
         }
 
@@ -157,31 +175,12 @@ namespace MathNet.Numerics.Distributions
             return n >= 0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="p">An array of nonnegative ratios: this array does not need to be normalized
-        /// as this is often impossible using floating point arithmetic.</param>
-        /// <param name="n">The number of trials.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double[] p, int n)
-        {
-            if (Control.CheckDistributionParameters && !IsValidParameterSet(p, n))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _p = (double[]) p.Clone();
-            _trials = n;
-        }
-
         /// <summary>
         /// Gets or sets the proportion of ratios.
         /// </summary>
         public double[] P
         {
             get { return (double[])_p.Clone(); }
-            set { SetParameters(value, _trials); }
         }
 
         /// <summary>
@@ -190,7 +189,6 @@ namespace MathNet.Numerics.Distributions
         public int N
         {
             get { return _trials; }
-            set { SetParameters(_p, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/NegativeBinomial.cs

@@ -46,8 +46,8 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _trials;
+        readonly double _trials;
-        double _p;
+        readonly double _p;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="NegativeBinomial"/> class.
@@ -56,8 +56,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="p">The probability (p) of a trial resulting in success. Range: 0 ≤ p ≤ 1.</param>
         public NegativeBinomial(double r, double p)
         {
+            if (!IsValidParameterSet(r,p))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(r, p);
+            _p = p;
+            _trials = r;
         }
 
         /// <summary>
@@ -68,8 +74,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public NegativeBinomial(double r, double p, System.Random randomSource)
         {
+            if (!IsValidParameterSet(r,p))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(r, p);
+            _p = p;
+            _trials = r;
         }
 
         /// <summary>
@@ -93,30 +105,12 @@ namespace MathNet.Numerics.Distributions
             return r >= 0.0 && p >= 0.0 && p <= 1.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="r">The number of failures (r) until the experiment stopped. Range: r ≥ 0.</param>
-        /// <param name="p">The probability (p) of a trial resulting in success. Range: 0 ≤ p ≤ 1.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double r, double p)
-        {
-            if (!(r >= 0.0 && p >= 0.0 && p <= 1.0))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _p = p;
-            _trials = r;
-        }
-
         /// <summary>
         /// Gets or sets the number of trials. Range: r ≥ 0.
         /// </summary>
         public double R
         {
             get { return _trials; }
-            set { SetParameters(value, _p); }
         }
 
         /// <summary>
@@ -125,7 +119,6 @@ namespace MathNet.Numerics.Distributions
         public double P
         {
             get { return _p; }
-            set { SetParameters(_trials, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Normal.cs

@@ -45,8 +45,8 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _mean;
+        readonly double _mean;
-        double _stdDev;
+        readonly double _stdDev;
 
         /// <summary>
         /// Initializes a new instance of the Normal class. This is a normal distribution with mean 0.0
@@ -77,8 +77,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="stddev">The standard deviation (σ) of the normal distribution. Range: σ ≥ 0.</param>
         public Normal(double mean, double stddev)
         {
+            if (!IsValidParameterSet(mean, stddev))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(mean, stddev);
+            _mean = mean;
+            _stdDev = stddev;
         }
 
         /// <summary>
@@ -90,8 +96,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public Normal(double mean, double stddev, System.Random randomSource)
         {
+            if (!IsValidParameterSet(mean, stddev))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(mean, stddev);
+            _mean = mean;
+            _stdDev = stddev;
         }
 
         /// <summary>
@@ -162,30 +174,12 @@ namespace MathNet.Numerics.Distributions
             return stddev >= 0.0 && !Double.IsNaN(mean);
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="mean">The mean (μ) of the normal distribution.</param>
-        /// <param name="stddev">The standard deviation (σ) of the normal distribution. Range: σ ≥ 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double mean, double stddev)
-        {
-            if (stddev < 0.0 || Double.IsNaN(mean) || Double.IsNaN(stddev))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _mean = mean;
-            _stdDev = stddev;
-        }
-
         /// <summary>
         /// Gets or sets the mean (μ) of the normal distribution.
         /// </summary>
         public double Mean
         {
             get { return _mean; }
-            set { SetParameters(value, _stdDev); }
         }
 
         /// <summary>
@@ -194,7 +188,6 @@ namespace MathNet.Numerics.Distributions
         public double StdDev
         {
             get { return _stdDev; }
-            set { SetParameters(_mean, value); }
         }
 
         /// <summary>
@@ -203,7 +196,6 @@ namespace MathNet.Numerics.Distributions
         public double Variance
         {
             get { return _stdDev*_stdDev; }
-            set { SetParameters(_mean, Math.Sqrt(value)); }
         }
 
         /// <summary>
@@ -212,16 +204,6 @@ namespace MathNet.Numerics.Distributions
         public double Precision
         {
             get { return 1.0/(_stdDev*_stdDev); }
-            set
-            {
-                var sdev = 1.0/Math.Sqrt(value);
-                // Handle the case when the precision is -0.
-                if (Double.IsInfinity(sdev))
-                {
-                    sdev = Double.PositiveInfinity;
-                }
-                SetParameters(_mean, sdev);
-            }
         }
 
         /// <summary>

src/Numerics/Distributions/NormalGamma.cs

@@ -68,7 +68,6 @@ namespace MathNet.Numerics.Distributions
         public double Mean
         {
             get { return _mean; }
-
             set { _mean = value; }
         }
 
@@ -78,7 +77,6 @@ namespace MathNet.Numerics.Distributions
         public double Precision
         {
             get { return _precision; }
-
             set { _precision = value; }
         }
     }
@@ -100,10 +98,10 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _meanLocation;
+        readonly double _meanLocation;
-        double _meanScale;
+        readonly double _meanScale;
-        double _precisionShape;
+        readonly double _precisionShape;
-        double _precisionInvScale;
+        readonly double _precisionInvScale;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="NormalGamma"/> class.
@@ -114,8 +112,16 @@ namespace MathNet.Numerics.Distributions
         /// <param name="precisionInverseScale">The inverse scale of the precision.</param>
         public NormalGamma(double meanLocation, double meanScale, double precisionShape, double precisionInverseScale)
         {
+            if (Control.CheckDistributionParameters && !IsValidParameterSet(meanLocation, meanScale, precisionShape, precisionInverseScale))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(meanLocation, meanScale, precisionShape, precisionInverseScale);
+            _meanLocation = meanLocation;
+            _meanScale = meanScale;
+            _precisionShape = precisionShape;
+            _precisionInvScale = precisionInverseScale;
         }
 
         /// <summary>
@@ -128,8 +134,16 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public NormalGamma(double meanLocation, double meanScale, double precisionShape, double precisionInverseScale, System.Random randomSource)
         {
+            if (Control.CheckDistributionParameters && !IsValidParameterSet(meanLocation, meanScale, precisionShape, precisionInverseScale))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(meanLocation, meanScale, precisionShape, precisionInverseScale);
+            _meanLocation = meanLocation;
+            _meanScale = meanScale;
+            _precisionShape = precisionShape;
+            _precisionInvScale = precisionInverseScale;
         }
 
         /// <summary>
@@ -154,34 +168,12 @@ namespace MathNet.Numerics.Distributions
             return meanScale > 0.0 && precShape > 0.0 && precInvScale > 0.0 && !Double.IsNaN(meanLocation);
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="meanLocation">The location of the mean.</param>
-        /// <param name="meanScale">The scale of the mean.</param>
-        /// <param name="precShape">The shape of the precision.</param>
-        /// <param name="precInvScale">The inverse scale of the precision.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double meanLocation, double meanScale, double precShape, double precInvScale)
-        {
-            if (Control.CheckDistributionParameters && !IsValidParameterSet(meanLocation, meanScale, precShape, precInvScale))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _meanLocation = meanLocation;
-            _meanScale = meanScale;
-            _precisionShape = precShape;
-            _precisionInvScale = precInvScale;
-        }
-
         /// <summary>
         /// Gets or sets the location of the mean.
         /// </summary>
         public double MeanLocation
         {
             get { return _meanLocation; }
-            set { SetParameters(value, _meanScale, _precisionShape, _precisionInvScale); }
         }
 
         /// <summary>
@@ -190,7 +182,6 @@ namespace MathNet.Numerics.Distributions
         public double MeanScale
         {
             get { return _meanScale; }
-            set { SetParameters(_meanLocation, value, _precisionShape, _precisionInvScale); }
         }
 
         /// <summary>
@@ -199,7 +190,6 @@ namespace MathNet.Numerics.Distributions
         public double PrecisionShape
         {
             get { return _precisionShape; }
-            set { SetParameters(_meanLocation, _meanScale, value, _precisionInvScale); }
         }
 
         /// <summary>
@@ -208,7 +198,6 @@ namespace MathNet.Numerics.Distributions
         public double PrecisionInverseScale
         {
             get { return _precisionInvScale; }
-            set { SetParameters(_meanLocation, _meanScale, _precisionShape, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Pareto.cs

@@ -48,8 +48,8 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _scale;
+        readonly double _scale;
-        double _shape;
+        readonly double _shape;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="Pareto"/> class.
@@ -59,8 +59,14 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentException">If <paramref name="scale"/> or <paramref name="shape"/> are negative.</exception>
         public Pareto(double scale, double shape)
         {
+            if (!IsValidParameterSet(scale, shape))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(scale, shape);
+            _scale = scale;
+            _shape = shape;
         }
 
         /// <summary>
@@ -72,8 +78,14 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentException">If <paramref name="scale"/> or <paramref name="shape"/> are negative.</exception>
         public Pareto(double scale, double shape, System.Random randomSource)
         {
+            if (!IsValidParameterSet(scale, shape))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(scale, shape);
+            _scale = scale;
+            _shape = shape;
         }
 
         /// <summary>
@@ -95,30 +107,12 @@ namespace MathNet.Numerics.Distributions
             return scale > 0.0 && shape > 0.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="scale">The scale (xm) of the distribution. Range: xm > 0.</param>
-        /// <param name="shape">The shape (α) of the distribution. Range: α > 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double scale, double shape)
-        {
-            if (scale <= 0.0 || shape <= 0.0 || Double.IsNaN(scale) || Double.IsNaN(shape))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _scale = scale;
-            _shape = shape;
-        }
-
         /// <summary>
         /// Gets or sets the scale (xm) of the distribution. Range: xm > 0.
         /// </summary>
         public double Scale
         {
             get { return _scale; }
-            set { SetParameters(value, _shape); }
         }
 
         /// <summary>
@@ -127,7 +121,6 @@ namespace MathNet.Numerics.Distributions
         public double Shape
         {
             get { return _shape; }
-            set { SetParameters(_scale, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Poisson.cs

@@ -47,7 +47,7 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _lambda;
+        readonly double _lambda;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="Poisson"/> class.
@@ -56,8 +56,13 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="System.ArgumentOutOfRangeException">If <paramref name="lambda"/> is equal or less then 0.0.</exception>
         public Poisson(double lambda)
         {
+            if (!IsValidParameterSet(lambda))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(lambda);
+            _lambda = lambda;
         }
 
         /// <summary>
@@ -68,8 +73,13 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="System.ArgumentOutOfRangeException">If <paramref name="lambda"/> is equal or less then 0.0.</exception>
         public Poisson(double lambda, System.Random randomSource)
         {
+            if (!IsValidParameterSet(lambda))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(lambda);
+            _lambda = lambda;
         }
 
         /// <summary>
@@ -92,28 +102,12 @@ namespace MathNet.Numerics.Distributions
             return lambda > 0.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="lambda">The lambda (λ) parameter of the Poisson distribution. Range: λ > 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double lambda)
-        {
-            if (!(lambda > 0.0))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _lambda = lambda;
-        }
-
         /// <summary>
         /// Gets or sets the Poisson distribution parameter λ. Range: λ > 0.
         /// </summary>
         public double Lambda
         {
             get { return _lambda; }
-            set { SetParameters(value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Rayleigh.cs

@@ -49,7 +49,7 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _scale;
+        readonly double _scale;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="Rayleigh"/> class.
@@ -58,8 +58,13 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentException">If <paramref name="scale"/> is negative.</exception>
         public Rayleigh(double scale)
         {
+            if (!IsValidParameterSet(scale))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(scale);
+            _scale = scale;
         }
 
         /// <summary>
@@ -70,8 +75,13 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentException">If <paramref name="scale"/> is negative.</exception>
         public Rayleigh(double scale, System.Random randomSource)
         {
+            if (!IsValidParameterSet(scale))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(scale);
+            _scale = scale;
         }
 
         /// <summary>
@@ -92,28 +102,12 @@ namespace MathNet.Numerics.Distributions
             return scale > 0.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="scale">The scale (σ) of the distribution. Range: σ > 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double scale)
-        {
-            if (scale <= 0.0 || Double.IsNaN(scale))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _scale = scale;
-        }
-
         /// <summary>
         /// Gets or sets the scale (σ) of the distribution. Range: σ > 0.
         /// </summary>
         public double Scale
         {
             get { return _scale; }
-            set { SetParameters(value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Stable.cs

@@ -47,10 +47,10 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _alpha;
+        readonly double _alpha;
-        double _beta;
+        readonly double _beta;
-        double _scale;
+        readonly double _scale;
-        double _location;
+        readonly double _location;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="Stable"/> class.
@@ -61,8 +61,16 @@ namespace MathNet.Numerics.Distributions
         /// <param name="location">The location (μ) of the distribution.</param>
         public Stable(double alpha, double beta, double scale, double location)
         {
+            if (!IsValidParameterSet(alpha, beta, scale, location))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(alpha, beta, scale, location);
+            _alpha = alpha;
+            _beta = beta;
+            _scale = scale;
+            _location = location;
         }
 
         /// <summary>
@@ -75,8 +83,16 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public Stable(double alpha, double beta, double scale, double location, System.Random randomSource)
         {
+            if (!IsValidParameterSet(alpha, beta, scale, location))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(alpha, beta, scale, location);
+            _alpha = alpha;
+            _beta = beta;
+            _scale = scale;
+            _location = location;
         }
 
         /// <summary>
@@ -100,35 +116,12 @@ namespace MathNet.Numerics.Distributions
             return alpha > 0.0 && alpha <= 2.0 && beta >= -1.0 && beta <= 1.0 && scale > 0.0 && !Double.IsNaN(location);
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="alpha">The stability (α) of the distribution. Range: 2 ≥ α > 0.</param>
-        /// <param name="beta">The skewness (β) of the distribution. Range: 1 ≥ β ≥ -1.</param>
-        /// <param name="scale">The scale (c) of the distribution. Range: c > 0.</param>
-        /// <param name="location">The location (μ) of the distribution.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double alpha, double beta, double scale, double location)
-        {
-            if (alpha <= 0.0 || alpha > 2.0 || beta < -1.0 || beta > 1.0 || scale <= 0.0
-                || Double.IsNaN(alpha) || Double.IsNaN(beta) || Double.IsNaN(scale) || Double.IsNaN(location))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _alpha = alpha;
-            _beta = beta;
-            _scale = scale;
-            _location = location;
-        }
-
         /// <summary>
         /// Gets or sets the stability (α) of the distribution. Range: 2 ≥ α > 0.
         /// </summary>
         public double Alpha
         {
             get { return _alpha; }
-            set { SetParameters(value, _beta, _scale, _location); }
         }
 
         /// <summary>
@@ -137,7 +130,6 @@ namespace MathNet.Numerics.Distributions
         public double Beta
         {
             get { return _beta; }
-            set { SetParameters(_alpha, value, _scale, _location); }
         }
 
         /// <summary>
@@ -146,7 +138,6 @@ namespace MathNet.Numerics.Distributions
         public double Scale
         {
             get { return _scale; }
-            set { SetParameters(_alpha, _beta, value, _location); }
         }
 
         /// <summary>
@@ -155,7 +146,6 @@ namespace MathNet.Numerics.Distributions
         public double Location
         {
             get { return _location; }
-            set { SetParameters(_alpha, _beta, _scale, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/StudentT.cs

@@ -61,9 +61,9 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _location;
+        readonly double _location;
-        double _scale;
+        readonly double _scale;
-        double _freedom;
+        readonly double _freedom;
 
         /// <summary>
         /// Initializes a new instance of the StudentT class. This is a Student t-distribution with location 0.0
@@ -72,7 +72,9 @@ namespace MathNet.Numerics.Distributions
         public StudentT()
         {
             _random = SystemRandomSource.Default;
-            SetParameters(0.0, 1.0, 1.0);
+            _location = 0.0;
+            _scale = 1.0;
+            _freedom = 1.0;
         }
 
         /// <summary>
@@ -84,8 +86,15 @@ namespace MathNet.Numerics.Distributions
         /// <param name="freedom">The degrees of freedom (ν) for the distribution. Range: ν > 0.</param>
         public StudentT(double location, double scale, double freedom)
         {
+            if (!IsValidParameterSet(location, scale, freedom))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(location, scale, freedom);
+            _location = location;
+            _scale = scale;
+            _freedom = freedom;
         }
 
         /// <summary>
@@ -98,8 +107,15 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public StudentT(double location, double scale, double freedom, System.Random randomSource)
         {
+            if (!IsValidParameterSet(location, scale, freedom))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(location, scale, freedom);
+            _location = location;
+            _scale = scale;
+            _freedom = freedom;
         }
 
         /// <summary>
@@ -119,26 +135,7 @@ namespace MathNet.Numerics.Distributions
         /// <param name="freedom">The degrees of freedom (ν) for the distribution. Range: ν > 0.</param>
         public static bool IsValidParameterSet(double location, double scale, double freedom)
         {
-            return scale > 0.0 && freedom > 0.0;
+            return scale > 0.0 && freedom > 0.0 && !Double.IsNaN(location);
-        }
-
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="location">The location (μ) of the distribution.</param>
-        /// <param name="scale">The scale (σ) of the distribution. Range: σ > 0.</param>
-        /// <param name="freedom">The degrees of freedom (ν) for the distribution. Range: ν > 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double location, double scale, double freedom)
-        {
-            if (scale <= 0.0 || freedom <= 0.0 || Double.IsNaN(scale) || Double.IsNaN(location) || Double.IsNaN(freedom))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _location = location;
-            _scale = scale;
-            _freedom = freedom;
         }
 
         /// <summary>
@@ -147,7 +144,6 @@ namespace MathNet.Numerics.Distributions
         public double Location
         {
             get { return _location; }
-            set { SetParameters(value, _scale, _freedom); }
         }
 
         /// <summary>
@@ -156,7 +152,6 @@ namespace MathNet.Numerics.Distributions
         public double Scale
         {
             get { return _scale; }
-            set { SetParameters(_location, value, _freedom); }
         }
 
         /// <summary>
@@ -165,7 +160,6 @@ namespace MathNet.Numerics.Distributions
         public double DegreesOfFreedom
         {
             get { return _freedom; }
-            set { SetParameters(_location, _scale, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Triangular.cs

@@ -49,9 +49,9 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _lower;
+        readonly double _lower;
-        double _upper;
+        readonly double _upper;
-        double _mode;
+        readonly double _mode;
 
         /// <summary>
         /// Initializes a new instance of the Triangular class with the given lower bound, upper bound and mode.
@@ -62,8 +62,15 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentException">If the upper bound is smaller than the mode or if the mode is smaller than the lower bound.</exception>
         public Triangular(double lower, double upper, double mode)
         {
+            if (!IsValidParameterSet(lower, upper, mode))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(lower, upper, mode);
+            _lower = lower;
+            _upper = upper;
+            _mode = mode;
         }
 
         /// <summary>
@@ -76,8 +83,15 @@ namespace MathNet.Numerics.Distributions
         /// <exception cref="ArgumentException">If the upper bound is smaller than the mode or if the mode is smaller than the lower bound.</exception>
         public Triangular(double lower, double upper, double mode, System.Random randomSource)
         {
+            if (!IsValidParameterSet(lower, upper, mode))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(lower, upper, mode);
+            _lower = lower;
+            _upper = upper;
+            _mode = mode;
         }
 
         /// <summary>
@@ -100,34 +114,12 @@ namespace MathNet.Numerics.Distributions
             return upper >= mode && mode >= lower && !Double.IsInfinity(upper) && !Double.IsInfinity(lower) && !Double.IsInfinity(mode);
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="lower">Lower bound. Range: lower ≤ mode ≤ upper</param>
-        /// <param name="upper">Upper bound. Range: lower ≤ mode ≤ upper</param>
-        /// <param name="mode">Mode (most frequent value).  Range: lower ≤ mode ≤ upper</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double lower, double upper, double mode)
-        {
-            if (upper < mode || mode < lower || Double.IsNaN(upper) || Double.IsNaN(lower) || Double.IsNaN(mode)
-                || Double.IsInfinity(upper) || Double.IsInfinity(lower) || Double.IsInfinity(mode)
-                )
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _lower = lower;
-            _upper = upper;
-            _mode = mode;
-        }
-
         /// <summary>
         /// Gets or sets the lower bound of the distribution.
         /// </summary>
         public double LowerBound
         {
             get { return _lower; }
-            set { SetParameters(value, _upper, _mode); }
         }
 
         /// <summary>
@@ -136,7 +128,6 @@ namespace MathNet.Numerics.Distributions
         public double UpperBound
         {
             get { return _upper; }
-            set { SetParameters(_lower, value, _mode); }
         }
 
         /// <summary>
@@ -209,7 +200,6 @@ namespace MathNet.Numerics.Distributions
         public double Mode
         {
             get { return _mode; }
-            set { SetParameters(_lower, _upper, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Weibull.cs

@@ -49,8 +49,8 @@ namespace MathNet.Numerics.Distributions
     {
         System.Random _random;
 
-        double _shape;
+        readonly double _shape;
-        double _scale;
+        readonly double _scale;
 
         /// <summary>
         /// Reusable intermediate result 1 / (_scale ^ _shape)
@@ -59,7 +59,7 @@ namespace MathNet.Numerics.Distributions
         /// By caching this parameter we can get slightly better numerics precision
         /// in certain constellations without any additional computations.
         /// </remarks>
-        double _scalePowShapeInv;
+        readonly double _scalePowShapeInv;
 
         /// <summary>
         /// Initializes a new instance of the Weibull class.
@@ -68,8 +68,15 @@ namespace MathNet.Numerics.Distributions
         /// <param name="scale">The scale (λ) of the Weibull distribution. Range: λ > 0.</param>
         public Weibull(double shape, double scale)
         {
+            if (!IsValidParameterSet(shape, scale))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(shape, scale);
+            _shape = shape;
+            _scale = scale;
+            _scalePowShapeInv = Math.Pow(scale, -shape);
         }
 
         /// <summary>
@@ -80,8 +87,15 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public Weibull(double shape, double scale, System.Random randomSource)
         {
+            if (!IsValidParameterSet(shape, scale))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(shape, scale);
+            _shape = shape;
+            _scale = scale;
+            _scalePowShapeInv = Math.Pow(scale, -shape);
         }
 
         /// <summary>
@@ -103,31 +117,12 @@ namespace MathNet.Numerics.Distributions
             return shape > 0.0 && scale > 0.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="shape">The shape (k) of the Weibull distribution. Range: k > 0.</param>
-        /// <param name="scale">The scale (λ) of the Weibull distribution. Range: λ > 0.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double shape, double scale)
-        {
-            if (shape <= 0.0 || scale <= 0.0 || Double.IsNaN(shape) || Double.IsNaN(scale))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _shape = shape;
-            _scale = scale;
-            _scalePowShapeInv = Math.Pow(scale, -shape);
-        }
-
         /// <summary>
         /// Gets or sets the shape (k) of the Weibull distribution. Range: k > 0.
         /// </summary>
         public double Shape
         {
             get { return _shape; }
-            set { SetParameters(value, _scale); }
         }
 
         /// <summary>
@@ -136,7 +131,6 @@ namespace MathNet.Numerics.Distributions
         public double Scale
         {
             get { return _scale; }
-            set { SetParameters(_shape, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Wishart.cs

@@ -51,17 +51,17 @@ namespace MathNet.Numerics.Distributions
         /// <summary>
         /// The degrees of freedom for the Wishart distribution.
         /// </summary>
-        double _degreesOfFreedom;
+        readonly double _degreesOfFreedom;
 
         /// <summary>
         /// The scale matrix for the Wishart distribution.
         /// </summary>
-        Matrix<double> _scale;
+        readonly Matrix<double> _scale;
 
         /// <summary>
         /// Caches the Cholesky factorization of the scale matrix.
         /// </summary>
-        Cholesky<double> _chol;
+        readonly Cholesky<double> _chol;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="Wishart"/> class.
@@ -70,8 +70,15 @@ namespace MathNet.Numerics.Distributions
         /// <param name="scale">The scale matrix (V) for the Wishart distribution.</param>
         public Wishart(double degreesOfFreedom, Matrix<double> scale)
         {
+            if (Control.CheckDistributionParameters && !IsValidParameterSet(degreesOfFreedom, scale))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(degreesOfFreedom, scale);
+            _degreesOfFreedom = degreesOfFreedom;
+            _scale = scale;
+            _chol = _scale.Cholesky();
         }
 
         /// <summary>
@@ -82,8 +89,15 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public Wishart(double degreesOfFreedom, Matrix<double> scale, System.Random randomSource)
         {
+            if (Control.CheckDistributionParameters && !IsValidParameterSet(degreesOfFreedom, scale))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(degreesOfFreedom, scale);
+            _degreesOfFreedom = degreesOfFreedom;
+            _scale = scale;
+            _chol = _scale.Cholesky();
         }
 
         /// <summary>
@@ -114,31 +128,12 @@ namespace MathNet.Numerics.Distributions
             return true;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="degreesOfFreedom">The degrees of freedom (n) for the Wishart distribution.</param>
-        /// <param name="scale">The scale matrix (V) for the Wishart distribution.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double degreesOfFreedom, Matrix<double> scale)
-        {
-            if (Control.CheckDistributionParameters && !IsValidParameterSet(degreesOfFreedom, scale))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _degreesOfFreedom = degreesOfFreedom;
-            _scale = scale;
-            _chol = _scale.Cholesky();
-        }
-
         /// <summary>
         /// Gets or sets the degrees of freedom (n) for the Wishart distribution.
         /// </summary>
         public double DegreesOfFreedom
         {
             get { return _degreesOfFreedom; }
-            set { SetParameters(value, _scale); }
         }
 
         /// <summary>
@@ -147,7 +142,6 @@ namespace MathNet.Numerics.Distributions
         public Matrix<double> Scale
         {
             get { return _scale; }
-            set { SetParameters(_degreesOfFreedom, value); }
         }
 
         /// <summary>

src/Numerics/Distributions/Zipf.cs

@@ -50,12 +50,12 @@ namespace MathNet.Numerics.Distributions
         /// <summary>
         /// The s parameter of the distribution.
         /// </summary>
-        double _s;
+        readonly double _s;
 
         /// <summary>
         /// The n parameter of the distribution.
         /// </summary>
-        int _n;
+        readonly int _n;
 
         /// <summary>
         /// Initializes a new instance of the <see cref="Zipf"/> class.
@@ -64,8 +64,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="n">The n parameter of the distribution.</param>
         public Zipf(double s, int n)
         {
+            if (!IsValidParameterSet(s, n))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = SystemRandomSource.Default;
-            SetParameters(s, n);
+            _s = s;
+            _n = n;
         }
 
         /// <summary>
@@ -76,8 +82,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="randomSource">The random number generator which is used to draw random samples.</param>
         public Zipf(double s, int n, System.Random randomSource)
         {
+            if (!IsValidParameterSet(s, n))
+            {
+                throw new ArgumentException(Resources.InvalidDistributionParameters);
+            }
+
             _random = randomSource ?? SystemRandomSource.Default;
-            SetParameters(s, n);
+            _s = s;
+            _n = n;
         }
 
         /// <summary>
@@ -99,30 +111,12 @@ namespace MathNet.Numerics.Distributions
             return n > 0 && s > 0.0;
         }
 
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="s">The s parameter of the distribution.</param>
-        /// <param name="n">The n parameter of the distribution.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters are out of range.</exception>
-        void SetParameters(double s, int n)
-        {
-            if (!(n > 0 && s > 0.0))
-            {
-                throw new ArgumentException(Resources.InvalidDistributionParameters);
-            }
-
-            _s = s;
-            _n = n;
-        }
-
         /// <summary>
         /// Gets or sets the s parameter of the distribution.
         /// </summary>
         public double S
         {
             get { return _s; }
-            set { SetParameters(value, _n); }
         }
 
         /// <summary>
@@ -131,7 +125,6 @@ namespace MathNet.Numerics.Distributions
         public int N
         {
             get { return _n; }
-            set { SetParameters(_s, value); }
         }
 
         /// <summary>

src/UnitTests/DistributionTests/Continuous/BetaTests.cs

@@ -89,62 +89,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             Assert.AreEqual("Beta(α = 1, β = 2)", n.ToString());
         }
 
-        /// <summary>
-        /// Can Set Shape A
-        /// </summary>
-        /// <param name="a">New A value.</param>
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetShapeA(double a)
-        {
-            GC.KeepAlive(new Beta(1.0, 1.0)
-            {
-                A = a
-            });
-        }
-
-        /// <summary>
-        /// Set A fails with negative A.
-        /// </summary>
-        [Test]
-        public void SetShapeAFailsWithNegativeA()
-        {
-            var n = new Beta(1.0, 1.0);
-            Assert.That(() => n.A = -1.0, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set shape B.
-        /// </summary>
-        /// <param name="b">New B value.</param>
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetShapeB(double b)
-        {
-            GC.KeepAlive(new Beta(1.0, 1.0)
-            {
-                B = b
-            });
-        }
-
-        /// <summary>
-        /// Set shape B fails with negative B.
-        /// </summary>
-        [Test]
-        public void SetShapeBFailsWithNegativeB()
-        {
-            var n = new Beta(1.0, 1.0);
-            Assert.That(() => n.B = -1.0, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate mean.
         /// </summary>

src/UnitTests/DistributionTests/Continuous/CauchyTests.cs

@@ -94,58 +94,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             Assert.AreEqual("Cauchy(x0 = 1, γ = 2)", n.ToString());
         }
 
-        /// <summary>
-        /// Can set location.
-        /// </summary>
-        /// <param name="location">Location value.</param>
-        [TestCase(-10.0)]
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        public void CanSetLocation(double location)
-        {
-            GC.KeepAlive(new Cauchy
-            {
-                Location = location
-            });
-        }
-
-        /// <summary>
-        /// Set bad location fails.
-        /// </summary>
-        [Test]
-        public void SetBadLocationFail()
-        {
-            var n = new Cauchy();
-            Assert.That(() => n.Location = Double.NaN, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set scale.
-        /// </summary>
-        /// <param name="scale">Scale value.</param>
-        [TestCase(1.0)]
-        [TestCase(2.0)]
-        [TestCase(12.0)]
-        public void CanSetScale(double scale)
-        {
-            GC.KeepAlive(new Cauchy
-            {
-                Scale = scale
-            });
-        }
-
-        /// <summary>
-        /// Set bad scale fails.
-        /// </summary>
-        [Test]
-        public void SetBadScaleFail()
-        {
-            var n = new Cauchy();
-            Assert.That(() => n.Scale = -1.0, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate entropy.
         /// </summary>

src/UnitTests/DistributionTests/Continuous/ChiSquareTests.cs

@@ -80,35 +80,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             Assert.AreEqual("ChiSquared(k = 1)", n.ToString());
         }
 
-        /// <summary>
-        /// Can set degrees of freedom.
-        /// </summary>
-        /// <param name="dof">Degrees of freedom.</param>
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetDoF(double dof)
-        {
-            GC.KeepAlive(new ChiSquared(1.0)
-            {
-                DegreesOfFreedom = dof
-            });
-        }
-
-        /// <summary>
-        /// Set Degrees of freedom fails with non-positive value.
-        /// </summary>
-        /// <param name="dof">Degrees of freedom.</param>
-        [TestCase(-1.0)]
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        public void SetDofFailsWithNonPositiveDoF(double dof)
-        {
-            var n = new ChiSquared(1.0);
-            Assert.That(() => n.DegreesOfFreedom = dof, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate mean.
         /// </summary>

src/UnitTests/DistributionTests/Continuous/ChiTests.cs

@@ -78,35 +78,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             Assert.AreEqual("Chi(k = 1)", n.ToString());
         }
 
-        /// <summary>
-        /// Can set degrees of freedom.
-        /// </summary>
-        /// <param name="dof">Degrees of freedom.</param>
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetDoF(double dof)
-        {
-            GC.KeepAlive(new Chi(1.0)
-            {
-                DegreesOfFreedom = dof
-            });
-        }
-
-        /// <summary>
-        /// Set Degrees of freedom fails with non-positive value.
-        /// </summary>
-        /// <param name="dof">Degrees of freedom.</param>
-        [TestCase(-1.0)]
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        public void SetDofFailsWithNonPositiveDoF(double dof)
-        {
-            var n = new Chi(1.0);
-            Assert.That(() => n.DegreesOfFreedom = dof, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate mean.
         /// </summary>

src/UnitTests/DistributionTests/Continuous/ContinuousUniformTests.cs

@@ -97,58 +97,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             Assert.AreEqual("ContinuousUniform(Lower = 1, Upper = 2)", n.ToString());
         }
 
-        /// <summary>
-        /// Can set lower bound.
-        /// </summary>
-        /// <param name="lower">Lower bound.</param>
-        [TestCase(-10.0)]
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        public void CanSetLower(double lower)
-        {
-            GC.KeepAlive(new ContinuousUniform
-            {
-                LowerBound = lower
-            });
-        }
-
-        /// <summary>
-        /// Set bad lower bound fails.
-        /// </summary>
-        [Test]
-        public void SetBadLowerFails()
-        {
-            var n = new ContinuousUniform();
-            Assert.That(() => n.LowerBound = 3.0, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set upper bound.
-        /// </summary>
-        /// <param name="upper">Upper bound.</param>
-        [TestCase(1.0)]
-        [TestCase(2.0)]
-        [TestCase(12.0)]
-        public void CanSetUpper(double upper)
-        {
-            GC.KeepAlive(new ContinuousUniform
-            {
-                UpperBound = upper
-            });
-        }
-
-        /// <summary>
-        /// Set bad upper fails.
-        /// </summary>
-        [Test]
-        public void SetBadUpperFails()
-        {
-            var n = new ContinuousUniform();
-            Assert.That(() => n.UpperBound = -1.0, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate entropy.
         /// </summary>

src/UnitTests/DistributionTests/Continuous/ErlangTests.cs

@@ -120,88 +120,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             Assert.AreEqual("Erlang(k = 1, λ = 2)", n.ToString());
         }
 
-        /// <summary>
-        /// Can set shape.
-        /// </summary>
-        /// <param name="shape">New shape value.</param>
-        [TestCase(-0)]
-        [TestCase(0)]
-        [TestCase(1)]
-        [TestCase(10)]
-        public void CanSetShape(int shape)
-        {
-            GC.KeepAlive(new Erlang(1, 1.0)
-            {
-                Shape = shape
-            });
-        }
-
-        /// <summary>
-        /// Set shape fails with negative shape.
-        /// </summary>
-        [Test]
-        public void SetShapeFailsWithNegativeShape()
-        {
-            var n = new Erlang(1, 1.0);
-            Assert.That(() => n.Shape = -1, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set scale
-        /// </summary>
-        /// <param name="scale">New scale value.</param>
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetScale(double scale)
-        {
-            GC.KeepAlive(new Erlang(1, 1.0)
-            {
-                Scale = scale
-            });
-        }
-
-        /// <summary>
-        /// Set scale fails with negative scale.
-        /// </summary>
-        [Test]
-        public void SetScaleFailsWithNegativeScale()
-        {
-            var n = new Erlang(1, 1.0);
-            Assert.That(() => n.Scale = -1.0, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set inverse scale.
-        /// </summary>
-        /// <param name="invScale">Inverse scale value.</param>
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetInvScale(double invScale)
-        {
-            GC.KeepAlive(new Erlang(1, 1.0)
-            {
-                Rate = invScale
-            });
-        }
-
-        /// <summary>
-        /// Set inverse scale fails with negative inverse scale.
-        /// </summary>
-        [Test]
-        public void SetInvScaleFailsWithNegativeInvScale()
-        {
-            var n = new Erlang(1, 1.0);
-            Assert.That(() => n.Rate = -1.0, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate mean.
         /// </summary>

src/UnitTests/DistributionTests/Continuous/ExponentialTests.cs

@@ -78,34 +78,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             Assert.AreEqual("Exponential(λ = 2)", n.ToString());
         }
 
-        /// <summary>
-        /// Can set lambda.
-        /// </summary>
-        /// <param name="lambda">Lambda value.</param>
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetLambda(double lambda)
-        {
-            GC.KeepAlive(new Exponential(1.0)
-            {
-                Rate = lambda
-            });
-        }
-
-        /// <summary>
-        /// Set lambda fails with negative lambda.
-        /// </summary>
-        [Test]
-        public void SetLambdaFailsWithNegativeLambda()
-        {
-            var n = new Exponential(1.0);
-            Assert.That(() => n.Rate = -1.0, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate mean.
         /// </summary>

src/UnitTests/DistributionTests/Continuous/FisherSnedecorTests.cs

@@ -101,58 +101,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             Assert.AreEqual("FisherSnedecor(d1 = 2, d2 = 1)", n.ToString());
         }
 
-        /// <summary>
-        /// Can set degree of freedom 1.
-        /// </summary>
-        /// <param name="d1">Degrees of freedom 1</param>
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetDegreesOfFreedom1(double d1)
-        {
-            GC.KeepAlive(new FisherSnedecor(1.0, 2.0)
-            {
-                DegreesOfFreedom1 = d1
-            });
-        }
-
-        /// <summary>
-        /// Set degree of freedom 1 fails with negative value.
-        /// </summary>
-        [Test]
-        public void SetDegreesOfFreedom1FailsWithNegativeDegreeOfFreedom()
-        {
-            var n = new FisherSnedecor(1.0, 2.0);
-            Assert.That(() => n.DegreesOfFreedom1 = -1.0, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set degree of freedom 2.
-        /// </summary>
-        /// <param name="d2">Degrees of freedom 2</param>
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetDegreesOfFreedom2(double d2)
-        {
-            GC.KeepAlive(new FisherSnedecor(1.0, 2.0)
-            {
-                DegreesOfFreedom2 = d2
-            });
-        }
-
-        /// <summary>
-        /// Set degree of freedom 2 fails with negative value.
-        /// </summary>
-        [Test]
-        public void SetDegreesOfFreedom2FailsWithNegativeDegreeOfFreedom()
-        {
-            var n = new FisherSnedecor(1.0, 2.0);
-            Assert.That(() => n.DegreesOfFreedom2 = -1.0, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate mean.
         /// </summary>

src/UnitTests/DistributionTests/Continuous/GammaTests.cs

@@ -122,90 +122,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             Assert.AreEqual("Gamma(α = 1, β = 2)", n.ToString());
         }
 
-        /// <summary>
-        /// Can set shape.
-        /// </summary>
-        /// <param name="shape">Shape value.</param>
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetShape(double shape)
-        {
-            GC.KeepAlive(new Gamma(1.0, 1.0)
-            {
-                Shape = shape
-            });
-        }
-
-        /// <summary>
-        /// Set shape fails with negative shape.
-        /// </summary>
-        [Test]
-        public void SetShapeFailsWithNegativeShape()
-        {
-            var n = new Gamma(1.0, 1.0);
-            Assert.That(() => n.Shape = -1.0, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set scale.
-        /// </summary>
-        /// <param name="scale">Scale value.</param>
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetScale(double scale)
-        {
-            GC.KeepAlive(new Gamma(1.0, 1.0)
-            {
-                Scale = scale
-            });
-        }
-
-        /// <summary>
-        /// Set scale fails with negative scale.
-        /// </summary>
-        [Test]
-        public void SetScaleFailsWithNegativeScale()
-        {
-            var n = new Gamma(1.0, 1.0);
-            Assert.That(() => n.Scale = -1.0, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set inverse scale.
-        /// </summary>
-        /// <param name="invScale">Inverse scale value.</param>
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetInvScale(double invScale)
-        {
-            GC.KeepAlive(new Gamma(1.0, 1.0)
-            {
-                Rate = invScale
-            });
-        }
-
-        /// <summary>
-        /// Set inverse scale fails with negative value.
-        /// </summary>
-        [Test]
-        public void SetInvScaleFailsWithNegativeInvScale()
-        {
-            var n = new Gamma(1.0, 1.0);
-            Assert.That(() => n.Rate = -1.0, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate mean.
         /// </summary>

src/UnitTests/DistributionTests/Continuous/InverseGammaTests.cs

@@ -86,64 +86,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             Assert.AreEqual("InverseGamma(α = 1.1, β = 2.1)", n.ToString());
         }
 
-        /// <summary>
-        /// Can set A.
-        /// </summary>
-        /// <param name="a">A parameter.</param>
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetA(double a)
-        {
-            GC.KeepAlive(new InverseGamma(1.0, 1.0)
-            {
-                Shape = a
-            });
-        }
-
-        /// <summary>
-        /// Set A fails with non-positive value.
-        /// </summary>
-        /// <param name="a">A parameter.</param>
-        [TestCase(-1.0)]
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        public void SetAFailsWithNonPositiveA(double a)
-        {
-            var n = new InverseGamma(1.0, 1.0);
-            Assert.That(() => n.Shape = a, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set B.
-        /// </summary>
-        /// <param name="b">B parameter.</param>
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetB(double b)
-        {
-            GC.KeepAlive(new InverseGamma(1.0, 1.0)
-            {
-                Scale = b
-            });
-        }
-
-        /// <summary>
-        /// Set B fails with non-positive value.
-        /// </summary>
-        /// <param name="b">B parameter.</param>
-        [TestCase(-1.0)]
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        public void SetBFailsWithNonPositiveB(double b)
-        {
-            var n = new InverseGamma(1.0, 1.0);
-            Assert.That(() => n.Scale = b, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate mean.
         /// </summary>

src/UnitTests/DistributionTests/Continuous/LaplaceTests.cs

@@ -80,65 +80,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             Assert.AreEqual("Laplace(μ = -1, b = 2)", n.ToString());
         }
 
-        /// <summary>
-        /// Can set location.
-        /// </summary>
-        /// <param name="location">Location value.</param>
-        [TestCase(Double.NegativeInfinity)]
-        [TestCase(-5.0 - 1.0)]
-        [TestCase(0.0)]
-        [TestCase(1.0)]
-        [TestCase(5.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetLocation(double location)
-        {
-            GC.KeepAlive(new Laplace
-            {
-                Location = location
-            });
-        }
-
-        /// <summary>
-        /// Set location fails with negative value.
-        /// </summary>
-        [Test]
-        public void SetLocationFailsWithNegativeLocation()
-        {
-            var n = new Laplace();
-            Assert.That(() => n.Location = Double.NaN, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set scale.
-        /// </summary>
-        /// <param name="scale">Scale value.</param>
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetScale(double scale)
-        {
-            GC.KeepAlive(new Laplace
-            {
-                Scale = scale
-            });
-        }
-
-        /// <summary>
-        /// Set scale fails with negative value.
-        /// </summary>
-        /// <param name="scale">Scale value.</param>
-        [TestCase(0.0)]
-        [TestCase(-1.0)]
-        [TestCase(-5.0)]
-        [TestCase(Double.NegativeInfinity)]
-        [TestCase(Double.NaN)]
-        public void SetScaleFailsWithNegativeScale(double scale)
-        {
-            var n = new Laplace();
-            Assert.That(() => n.Scale = scale, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate mean.
         /// </summary>

src/UnitTests/DistributionTests/Continuous/LogNormalTests.cs

@@ -85,54 +85,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             Assert.AreEqual("LogNormal(μ = 1, σ = 2)", n.ToString());
         }
 
-        /// <summary>
-        /// Can set sigma.
-        /// </summary>
-        /// <param name="sigma">Sigma value.</param>
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetSigma(double sigma)
-        {
-            GC.KeepAlive(new LogNormal(1.0, 2.0)
-            {
-                Sigma = sigma
-            });
-        }
-
-        /// <summary>
-        /// Set sigma fails with negative value.
-        /// </summary>
-        [Test]
-        public void SetSigmaFailsWithNegativeSigma()
-        {
-            var n = new LogNormal(1.0, 2.0);
-            Assert.That(() => n.Sigma = -1.0, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set mu.
-        /// </summary>
-        /// <param name="mu">Mu parameter.</param>
-        [TestCase(Double.NegativeInfinity)]
-        [TestCase(-1.0)]
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetMu(double mu)
-        {
-            GC.KeepAlive(new LogNormal(1.0, 2.0)
-            {
-                Mu = mu
-            });
-        }
-
         /// <summary>
         /// Validate entropy.
         /// </summary>

src/UnitTests/DistributionTests/Continuous/NormalTests.cs

@@ -150,113 +150,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             Assert.AreEqual("Normal(μ = 1, σ = 2)", n.ToString());
         }
 
-        /// <summary>
-        /// Can set precision.
-        /// </summary>
-        /// <param name="prec">Precision value.</param>
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetPrecision(double prec)
-        {
-            GC.KeepAlive(new Normal
-            {
-                Precision = prec
-            });
-        }
-
-        /// <summary>
-        /// Set precision fails with negative value.
-        /// </summary>
-        [Test]
-        public void SetPrecisionFailsWithNegativePrecision()
-        {
-            var n = new Normal();
-            Assert.That(() => n.Precision = -1.0, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set variance.
-        /// </summary>
-        /// <param name="var">Variance value.</param>
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetVariance(double var)
-        {
-            var dist = new Normal
-            {
-                Variance = var
-            };
-
-            Assert.AreEqual(var, dist.Variance, 1e-14);
-        }
-
-        /// <summary>
-        /// Set variance fails with negative value.
-        /// </summary>
-        [Test]
-        public void SetVarianceFailsWithNegativeVariance()
-        {
-            var n = new Normal();
-            Assert.That(() => n.Variance = -1.0, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set standard deviation.
-        /// </summary>
-        /// <param name="sdev">Standard deviation value.</param>
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetStdDev(double sdev)
-        {
-            var dist = new Normal
-            {
-                StdDev = sdev
-            };
-
-            Assert.AreEqual(sdev, dist.StdDev, 1e-14);
-        }
-
-        /// <summary>
-        /// Set standard deviation fails with negative value.
-        /// </summary>
-        [Test]
-        public void SetStdDevFailsWithNegativeStdDev()
-        {
-            var n = new Normal();
-            Assert.That(() => n.StdDev = -1.0, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set mean.
-        /// </summary>
-        /// <param name="mean">Mean value.</param>
-        [TestCase(Double.NegativeInfinity)]
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetMean(double mean)
-        {
-            GC.KeepAlive(new Normal
-            {
-                Mean = mean
-            });
-        }
-
         /// <summary>
         /// Validate entropy.
         /// </summary>

src/UnitTests/DistributionTests/Continuous/ParetoTests.cs

@@ -86,58 +86,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             Assert.AreEqual("Pareto(xm = 1, α = 2)", n.ToString());
         }
 
-        /// <summary>
-        /// Can set scale.
-        /// </summary>
-        /// <param name="scale">Scale value.</param>
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetScale(double scale)
-        {
-            GC.KeepAlive(new Pareto(1.0, 1.0)
-            {
-                Scale = scale
-            });
-        }
-
-        /// <summary>
-        /// Set scale fails with negative scale.
-        /// </summary>
-        [Test]
-        public void SetScaleFailsWithNegativeScale()
-        {
-            var n = new Pareto(1.0, 1.0);
-            Assert.That(() => n.Scale = -1.0, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set shape.
-        /// </summary>
-        /// <param name="shape">Shape value.</param>
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetShape(double shape)
-        {
-            GC.KeepAlive(new Pareto(1.0, 1.0)
-            {
-                Shape = shape
-            });
-        }
-
-        /// <summary>
-        /// Set shape fails with negative shape.
-        /// </summary>
-        [Test]
-        public void SetShapeFailsWithNegativeShape()
-        {
-            var n = new Pareto(1.0, 1.0);
-            Assert.That(() => n.Shape = -1.0, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate mean.
         /// </summary>

src/UnitTests/DistributionTests/Continuous/RayleighTests.cs

@@ -78,37 +78,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             Assert.AreEqual("Rayleigh(σ = 2)", n.ToString());
         }
 
-        /// <summary>
-        /// Can set scale.
-        /// </summary>
-        /// <param name="scale">Scale value.</param>
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetScale(double scale)
-        {
-            GC.KeepAlive(new Rayleigh(1.0)
-            {
-                Scale = scale
-            });
-        }
-
-        /// <summary>
-        /// Set scale fails with negative scale.
-        /// </summary>
-        /// <param name="scale">Scale value.</param>
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(-1.0)]
-        [TestCase(Double.NegativeInfinity)]
-        [TestCase(Double.NaN)]
-        public void SetScaleFailsWithNegativeScale(double scale)
-        {
-            var n = new Rayleigh(1.0);
-            Assert.That(() => n.Scale = scale, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate mean.
         /// </summary>

src/UnitTests/DistributionTests/Continuous/StableTests.cs

@@ -102,128 +102,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             Assert.AreEqual("Stable(α = 1.2, β = 0.3, c = 1, μ = 2)", n.ToString());
         }
 
-        /// <summary>
-        /// Can set alpha.
-        /// </summary>
-        /// <param name="alpha">Alpha value.</param>
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(2.0)]
-        public void CanSetAlpha(double alpha)
-        {
-            GC.KeepAlive(new Stable(1.0, 1.0, 1.0, 1.0)
-            {
-                Alpha = alpha
-            });
-        }
-
-        /// <summary>
-        /// Set alpha fails with bad values.
-        /// </summary>
-        /// <param name="alpha">Alpha value.</param>
-        [TestCase(Double.NaN)]
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(2.1)]
-        [TestCase(Double.NegativeInfinity)]
-        [TestCase(Double.PositiveInfinity)]
-        public void SetAlphaFail(double alpha)
-        {
-            var n = new Stable(1.0, 1.0, 1.0, 1.0);
-            Assert.That(() => n.Alpha = alpha, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set beta.
-        /// </summary>
-        /// <param name="beta">Beta value.</param>
-        [TestCase(-1.0)]
-        [TestCase(-0.1)]
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        public void CanSetBeta(double beta)
-        {
-            GC.KeepAlive(new Stable(1.0, 1.0, 1.0, 1.0)
-            {
-                Beta = beta
-            });
-        }
-
-        /// <summary>
-        /// Set beta fails with bad values.
-        /// </summary>
-        /// <param name="beta">Beta value.</param>
-        [TestCase(Double.NaN)]
-        [TestCase(-1.1)]
-        [TestCase(1.1)]
-        [TestCase(Double.NegativeInfinity)]
-        [TestCase(Double.PositiveInfinity)]
-        public void SetBetaFail(double beta)
-        {
-            var n = new Stable(1.0, 1.0, 1.0, 1.0);
-            Assert.That(() => n.Beta = beta, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set scale.
-        /// </summary>
-        /// <param name="scale">Scale value.</param>
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetScale(double scale)
-        {
-            GC.KeepAlive(new Stable(1.0, 1.0, 1.0, 1.0)
-            {
-                Scale = scale
-            });
-        }
-
-        /// <summary>
-        /// Set scale fails with bad values.
-        /// </summary>
-        /// <param name="scale">Scale value.</param>
-        [TestCase(Double.NaN)]
-        [TestCase(0.0)]
-        public void SetScaleFail(double scale)
-        {
-            var n = new Stable(1.0, 1.0, 1.0, 1.0);
-            Assert.That(() => n.Scale = scale, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set location.
-        /// </summary>
-        /// <param name="location">Location value.</param>
-        [TestCase(Double.NegativeInfinity)]
-        [TestCase(-10.0)]
-        [TestCase(-1.0)]
-        [TestCase(-0.1)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetLocation(double location)
-        {
-            GC.KeepAlive(new Stable(1.0, 1.0, 1.0, 1.0)
-            {
-                Location = location
-            });
-        }
-
-        /// <summary>
-        /// Set location fails with bad values.
-        /// </summary>
-        [Test]
-        public void SetLocationFail()
-        {
-            var n = new Stable(1.0, 1.0, 1.0, 1.0);
-            Assert.That(() => n.Location = Double.NaN, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate entropy throws <c>NotSupportedException</c>.
         /// </summary>

src/UnitTests/DistributionTests/Continuous/StudentTTests.cs

@@ -98,84 +98,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             Assert.AreEqual("StudentT(μ = 1, σ = 2, ν = 1)", n.ToString());
         }
 
-        /// <summary>
-        /// Can set location.
-        /// </summary>
-        /// <param name="loc">Location value.</param>
-        [TestCase(Double.NegativeInfinity)]
-        [TestCase(-5.0)]
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetLocation(double loc)
-        {
-            GC.KeepAlive(new StudentT
-            {
-                Location = loc
-            });
-        }
-
-        /// <summary>
-        /// Can set scale.
-        /// </summary>
-        /// <param name="scale">Scale value.</param>
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetScale(double scale)
-        {
-            GC.KeepAlive(new StudentT
-            {
-                Scale = scale
-            });
-        }
-
-        /// <summary>
-        /// Set scale fails with non-positive scale.
-        /// </summary>
-        /// <param name="scale">Scale value.</param>
-        [TestCase(-1.0)]
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        public void SetScaleFailsWithNonPositiveScale(double scale)
-        {
-            var n = new StudentT();
-            Assert.That(() => n.Scale = scale, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set degrees of freedom.
-        /// </summary>
-        /// <param name="dof">Degrees of freedom.</param>
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetDoF(double dof)
-        {
-            GC.KeepAlive(new StudentT
-            {
-                DegreesOfFreedom = dof
-            });
-        }
-
-        /// <summary>
-        /// Set degrees of freedom fails with non-positive value.
-        /// </summary>
-        /// <param name="dof">Degrees of freedom.</param>
-        [TestCase(-1.0)]
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        public void SetDofFailsWithNonPositiveDoF(double dof)
-        {
-            var n = new StudentT();
-            Assert.That(() => n.DegreesOfFreedom = dof, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate mean.
         /// </summary>

src/UnitTests/DistributionTests/Continuous/TriangularTests.cs

@@ -92,36 +92,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             var n = new Triangular(0d, 2d, 1d);
             Assert.AreEqual("Triangular(Lower = 0, Upper = 2, Mode = 1)", n.ToString());
         }
-
-        /// <summary>
-        /// Can Set Lower Bound
-        /// </summary>
-        /// <param name="lower">New Lower Bound.</param>
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        public void CanSetLowerBound(double lower)
-        {
-            GC.KeepAlive(new Triangular(0.0, 20.0, 10.0)
-            {
-                LowerBound = lower
-            });
-        }
-
-        /// <summary>
-        /// Set LowerBound fails if greater than Mode.
-        /// </summary>
-        [TestCase(1.0, 0.5)]
-        [TestCase(Double.PositiveInfinity, 0.5)]
-        public void SetLowerBoundFailsIfGreaterThanMode(double lower, double mode)
-        {
-            var n = new Triangular(0.0, 100.0, mode);
-            Assert.That(() => n.LowerBound = lower, Throws.ArgumentException);
-        }
-
-        // Todo: Add tests for setting upper bound and mode values.
         
         // Todo: Add tests for:
         // - Mean, 

src/UnitTests/DistributionTests/Continuous/WeibullTests.cs

@@ -88,64 +88,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Continuous
             Assert.AreEqual("Weibull(k = 1, λ = 2)", n.ToString());
         }
 
-        /// <summary>
-        /// Can set shape.
-        /// </summary>
-        /// <param name="shape">Shape value.</param>
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetShape(double shape)
-        {
-            GC.KeepAlive(new Weibull(1.0, 1.0)
-            {
-                Shape = shape
-            });
-        }
-
-        /// <summary>
-        /// Set shape fails with negative shape.
-        /// </summary>
-        /// <param name="shape">Shape value.</param>
-        [TestCase(-1.0)]
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        public void SetShapeFailsWithNegativeShape(double shape)
-        {
-            var n = new Weibull(1.0, 1.0);
-            Assert.That(() => n.Shape = shape, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set scale.
-        /// </summary>
-        /// <param name="scale">Scale value.</param>
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetScale(double scale)
-        {
-            GC.KeepAlive(new Weibull(1.0, 1.0)
-            {
-                Scale = scale
-            });
-        }
-
-        /// <summary>
-        /// Set scale fails with negative scale.
-        /// </summary>
-        /// <param name="scale">Scale value.</param>
-        [TestCase(-1.0)]
-        [TestCase(-0.0)]
-        [TestCase(0.0)]
-        public void SetScaleFailsWithNegativeScale(double scale)
-        {
-            var n = new Weibull(1.0, 1.0);
-            Assert.That(() => n.Scale = scale, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate mean.
         /// </summary>

src/UnitTests/DistributionTests/Discrete/BernoulliTests.cs

@@ -76,34 +76,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Discrete
             Assert.AreEqual("Bernoulli(p = 0.3)", b.ToString());
         }
 
-        /// <summary>
-        /// Can set probability of one.
-        /// </summary>
-        /// <param name="p">Probability of one.</param>
-        [TestCase(0.0)]
-        [TestCase(0.3)]
-        [TestCase(1.0)]
-        public void CanSetProbabilityOfOne(double p)
-        {
-            GC.KeepAlive(new Bernoulli(0.3)
-            {
-                P = p
-            });
-        }
-
-        /// <summary>
-        /// Set probability of one fails with bad values.
-        /// </summary>
-        /// <param name="p">Probability of one.</param>
-        [TestCase(Double.NaN)]
-        [TestCase(-1.0)]
-        [TestCase(2.0)]
-        public void SetProbabilityOfOneFails(double p)
-        {
-            var b = new Bernoulli(0.3);
-            Assert.That(() => b.P = p, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate entropy.
         /// </summary>

src/UnitTests/DistributionTests/Discrete/BinomialTests.cs

@@ -79,35 +79,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Discrete
             Assert.AreEqual("Binomial(p = 0.3, n = 2)", b.ToString());
         }
 
-        /// <summary>
-        /// Can set success probability.
-        /// </summary>
-        /// <param name="p">Success probability.</param>
-        /// <param name="n">Number of trials.</param>
-        [TestCase(0.0, 4)]
-        [TestCase(0.3, 3)]
-        [TestCase(1.0, 2)]
-        public void CanSetSuccessProbability(double p, int n)
-        {
-            GC.KeepAlive(new Binomial(0.3, n)
-            {
-                P = p
-            });
-        }
-
-        /// <summary>
-        /// Set success probability fails with bad values.
-        /// </summary>
-        /// <param name="p">Success probability.</param>
-        [TestCase(Double.NaN)]
-        [TestCase(-1.0)]
-        [TestCase(2.0)]
-        public void SetProbabilityOfOneFails(double p)
-        {
-            var b = new Binomial(0.3, 1);
-            Assert.That(() => b.P = p, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate entropy.
         /// </summary>

src/UnitTests/DistributionTests/Discrete/CategoricalTests.cs

@@ -139,28 +139,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Discrete
             Assert.AreEqual("Categorical(Dimension = 3)", b.ToString());
         }
 
-        /// <summary>
-        /// Can set probability.
-        /// </summary>
-        [Test]
-        public void CanSetProbability()
-        {
-            GC.KeepAlive(new Categorical(_largeP)
-            {
-                P = _smallP
-            });
-        }
-
-        /// <summary>
-        /// Set probability with a bad array fails.
-        /// </summary>
-        [Test]
-        public void SetProbabilityFails()
-        {
-            var b = new Categorical(_largeP);
-            Assert.That(() => b.P = _badP, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate mean.
         /// </summary>

src/UnitTests/DistributionTests/Discrete/ConwayMaxwellPoissonTests.cs

@@ -77,66 +77,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Discrete
             Assert.AreEqual("ConwayMaxwellPoisson(λ = 1, ν = 2)", d.ToString());
         }
 
-        /// <summary>
-        /// Can set lambda.
-        /// </summary>
-        /// <param name="lambda">Lambda value.</param>
-        [TestCase(0.1)]
-        [TestCase(3.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetLambda(double lambda)
-        {
-            GC.KeepAlive(new ConwayMaxwellPoisson(1.0, 2.0)
-            {
-                Lambda = lambda
-            });
-        }
-
-        /// <summary>
-        /// Can set DegreesOfFreedom.
-        /// </summary>
-        /// <param name="nu">DegreesOfFreedom parameter.</param>
-        [TestCase(0.0)]
-        [TestCase(3.0)]
-        [TestCase(10.0)]
-        [TestCase(Double.PositiveInfinity)]
-        public void CanSetNu(double nu)
-        {
-            GC.KeepAlive(new ConwayMaxwellPoisson(1.0, 2.0)
-            {
-                Nu = nu
-            });
-        }
-
-        /// <summary>
-        /// Set lambda with bad values fails.
-        /// </summary>
-        /// <param name="lambda">Lambda value.</param>
-        [TestCase(0.0)]
-        [TestCase(-0.0)]
-        [TestCase(-1.0)]
-        [TestCase(Double.NegativeInfinity)]
-        public void SetLambdaFails(double lambda)
-        {
-            var d = new ConwayMaxwellPoisson(1.0, 2.0);
-            Assert.That(() => d.Lambda = lambda, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Set DegreesOfFreedom with bad values fails.
-        /// </summary>
-        /// <param name="nu">DegreesOfFreedom parameter.</param>
-        [TestCase(-0.1)]
-        [TestCase(-1.0)]
-        [TestCase(-10.0)]
-        [TestCase(Double.NegativeInfinity)]
-        public void SetNuFails(double nu)
-        {
-            var d = new ConwayMaxwellPoisson(1.0, 2.0);
-            Assert.That(() => d.Nu = nu, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate entropy throws <c>NotSupportedException</c>.
         /// </summary>

src/UnitTests/DistributionTests/Discrete/DiscreteUniformTests.cs

@@ -79,66 +79,12 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Discrete
             Assert.AreEqual("DiscreteUniform(Lower = 0, Upper = 10)", b.ToString());
         }
 
-        /// <summary>
-        /// Can set lower bound.
-        /// </summary>
-        /// <param name="p">Lower bound.</param>
-        [TestCase(0)]
-        [TestCase(3)]
-        [TestCase(10)]
-        public void CanSetLowerBound(int p)
-        {
-            GC.KeepAlive(new DiscreteUniform(0, 10)
-            {
-                LowerBound = p
-            });
-        }
-
-        /// <summary>
-        /// Can set upper bound.
-        /// </summary>
-        /// <param name="p">Upper bound.</param>
-        [TestCase(0)]
-        [TestCase(3)]
-        [TestCase(10)]
-        public void CanSetUpperBound(int p)
-        {
-            GC.KeepAlive(new DiscreteUniform(0, 10)
-            {
-                UpperBound = p
-            });
-        }
-
-        /// <summary>
-        /// Set lower bound with bad values fails.
-        /// </summary>
-        /// <param name="p">Lower bound.</param>
-        [TestCase(11)]
-        [TestCase(20)]
-        public void SetLowerBoundFails(int p)
-        {
-            var b = new DiscreteUniform(0, 10);
-            Assert.That(() => b.LowerBound = p, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Set upper bound with bad values fails
-        /// </summary>
-        /// <param name="p">Upper bound.</param>
-        [TestCase(-11)]
-        [TestCase(-20)]
-        public void SetUpperBoundFails(int p)
-        {
-            var b = new DiscreteUniform(0, 10);
-            Assert.That(() => b.UpperBound = p, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate entropy.
         /// </summary>
         /// <param name="l">Lower bound.</param>
         /// <param name="u">Upper bound.</param>
-        /// <param name="e">Expceted value.</param>
+        /// <param name="e">Expected value.</param>
         [TestCase(-10, 10, 3.0445224377234229965005979803657054342845752874046093)]
         [TestCase(0, 4, 1.6094379124341003746007593332261876395256013542685181)]
         [TestCase(10, 20, 2.3978952727983705440619435779651292998217068539374197)]
@@ -169,7 +115,7 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Discrete
         /// </summary>
         /// <param name="l">Lower bound.</param>
         /// <param name="u">Upper bound.</param>
-        /// <param name="m">Expceted value.</param>
+        /// <param name="m">Expected value.</param>
         [TestCase(-10, 10, 0)]
         [TestCase(0, 4, 2)]
         [TestCase(10, 20, 15)]
@@ -185,7 +131,7 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Discrete
         /// </summary>
         /// <param name="l">Lower bound.</param>
         /// <param name="u">Upper bound.</param>
-        /// <param name="m">Expceted value.</param>
+        /// <param name="m">Expected value.</param>
         [TestCase(-10, 10, 0)]
         [TestCase(0, 4, 2)]
         [TestCase(10, 20, 15)]
@@ -201,7 +147,7 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Discrete
         /// </summary>
         /// <param name="l">Lower bound.</param>
         /// <param name="u">Upper bound.</param>
-        /// <param name="m">Expceted value.</param>
+        /// <param name="m">Expected value.</param>
         [TestCase(-10, 10, 0)]
         [TestCase(0, 4, 2)]
         [TestCase(10, 20, 15)]
@@ -238,7 +184,7 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Discrete
         /// <param name="l">Lower bound.</param>
         /// <param name="u">Upper bound.</param>
         /// <param name="x">Input X value.</param>
-        /// <param name="p">Expceted value.</param>
+        /// <param name="p">Expected value.</param>
         [TestCase(-10, 10, -5, 1 / 21.0)]
         [TestCase(-10, 10, 1, 1 / 21.0)]
         [TestCase(-10, 10, 10, 1 / 21.0)]
@@ -256,7 +202,7 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Discrete
         /// <param name="l">Lower bound.</param>
         /// <param name="u">Upper bound.</param>
         /// <param name="x">Input X value.</param>
-        /// <param name="dln">Expceted value.</param>
+        /// <param name="dln">Expected value.</param>
         [TestCase(-10, 10, -5, -3.0445224377234229965005979803657054342845752874046093)]
         [TestCase(-10, 10, 1, -3.0445224377234229965005979803657054342845752874046093)]
         [TestCase(-10, 10, 10, -3.0445224377234229965005979803657054342845752874046093)]
@@ -332,7 +278,7 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Discrete
         /// <param name="l">Lower bound.</param>
         /// <param name="u">Upper bound.</param>
         /// <param name="x">Input X value.</param>
-        /// <param name="cdf">Expceted value.</param>
+        /// <param name="cdf">Expected value.</param>
         [TestCase(-10, 10, -5, 6.0 / 21.0)]
         [TestCase(-10, 10, 1, 12.0 / 21.0)]
         [TestCase(-10, 10, 10, 1.0)]

src/UnitTests/DistributionTests/Discrete/GeometricTests.cs

@@ -76,34 +76,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Discrete
             Assert.AreEqual("Geometric(p = 0.3)", d.ToString());
         }
 
-        /// <summary>
-        /// Can set probability of one.
-        /// </summary>
-        /// <param name="p">Probability of generating a one.</param>
-        [TestCase(0.0)]
-        [TestCase(0.3)]
-        [TestCase(1.0)]
-        public void CanSetProbabilityOfOne(double p)
-        {
-            GC.KeepAlive(new Geometric(0.3)
-            {
-                P = p
-            });
-        }
-
-        /// <summary>
-        /// Set probability of one with a bad value fails.
-        /// </summary>
-        /// <param name="p">Probability of generating a one.</param>
-        [TestCase(Double.NaN)]
-        [TestCase(-1.0)]
-        [TestCase(2.0)]
-        public void SetProbabilityOfOneFails(double p)
-        {
-            var d = new Geometric(0.3);
-            Assert.That(() => d.P = p, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate entropy.
         /// </summary>

src/UnitTests/DistributionTests/Discrete/HypergeometricTests.cs

@@ -86,89 +86,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Discrete
             Assert.AreEqual("Hypergeometric(N = 10, M = 1, n = 1)", d.ToString());
         }
 
-        /// <summary>
-        /// Can set size.
-        /// </summary>
-        /// <param name="population">Population size.</param>
-        [TestCase(5)]
-        [TestCase(10)]
-        [TestCase(20)]
-        public void CanSetPopulation(int population)
-        {
-            GC.KeepAlive(new Hypergeometric(10, 1, 1)
-            {
-                Population = population
-            });
-        }
-
-        /// <summary>
-        /// Set size fails with bad values.
-        /// </summary>
-        /// <param name="population">Population size.</param>
-        [TestCase(-1)]
-        [TestCase(0)]
-        public void SetPopulationFails(int population)
-        {
-            var d = new Hypergeometric(10, 1, 1);
-            Assert.That(() => d.Population = population, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set M.
-        /// </summary>
-        /// <param name="success">M parameter.</param>
-        [TestCase(0)]
-        [TestCase(1)]
-        [TestCase(2)]
-        [TestCase(5)]
-        public void CanSetSuccess(int success)
-        {
-            GC.KeepAlive(new Hypergeometric(10, 1, 1)
-            {
-                Success = success
-            });
-        }
-
-        /// <summary>
-        /// Set M fails with bad values.
-        /// </summary>
-        /// <param name="success">M parameter.</param>
-        [TestCase(11)]
-        [TestCase(-1)]
-        public void SetSuccessFails(int success)
-        {
-            var d = new Hypergeometric(10, 1, 1);
-            Assert.That(() => d.Success = success, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set N.
-        /// </summary>
-        /// <param name="draws">N parameter.</param>
-        [TestCase(0)]
-        [TestCase(1)]
-        [TestCase(2)]
-        [TestCase(5)]
-        public void CanSetDraws(int draws)
-        {
-            GC.KeepAlive(new Hypergeometric(10, 1, 1)
-            {
-                Draws = draws
-            });
-        }
-
-        /// <summary>
-        /// Set N fails with bad values.
-        /// </summary>
-        /// <param name="draws">N parameter.</param>
-        [TestCase(11)]
-        [TestCase(-1)]
-        public void SetDrawsFails(int draws)
-        {
-            var d = new Hypergeometric(10, 1, 1);
-            Assert.That(() => d.Draws = draws, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate entropy throws <c>NotSupportedException</c>.
         /// </summary>

src/UnitTests/DistributionTests/Discrete/NegativeBinomialTests.cs

@@ -84,62 +84,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Discrete
             Assert.AreEqual(String.Format("NegativeBinomial(R = {0}, P = {1})", d.R, d.P), d.ToString());
         }
 
-        /// <summary>
-        /// Can set R.
-        /// </summary>
-        /// <param name="r">Number of trials.</param>
-        [TestCase(0.0)]
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        public void CanSetR(double r)
-        {
-            GC.KeepAlive(new NegativeBinomial(1.0, 0.5)
-            {
-                R = r
-            });
-        }
-
-        /// <summary>
-        /// Set R fails with bad values.
-        /// </summary>
-        /// <param name="r">Number of trials.</param>
-        [TestCase(Double.NaN)]
-        [TestCase(-1.0)]
-        [TestCase(Double.NegativeInfinity)]
-        public void SetRFails(double r)
-        {
-            var d = new NegativeBinomial(1.0, 0.5);
-            Assert.That(() => d.R = r, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set probability of one.
-        /// </summary>
-        /// <param name="p">Probability of success.</param>
-        [TestCase(0.0)]
-        [TestCase(0.3)]
-        [TestCase(1.0)]
-        public void CanSetProbabilityOfOne(double p)
-        {
-            GC.KeepAlive(new NegativeBinomial(1.0, 0.5)
-            {
-                P = p
-            });
-        }
-
-        /// <summary>
-        /// Set probability of one fails with bad values.
-        /// </summary>
-        /// <param name="p">Probability of success.</param>
-        [TestCase(Double.NaN)]
-        [TestCase(-1.0)]
-        [TestCase(2.0)]
-        public void SetProbabilityOfOneFails(double p)
-        {
-            var d = new NegativeBinomial(1.0, 0.5);
-            Assert.That(() => d.P = p, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate entropy throws <c>NotSupportedException</c>.
         /// </summary>

src/UnitTests/DistributionTests/Discrete/PoissonTests.cs

@@ -76,34 +76,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Discrete
             Assert.AreEqual(String.Format("Poisson(λ = {0})", 0.3), d.ToString());
         }
 
-        /// <summary>
-        /// Can set probability of one.
-        /// </summary>
-        /// <param name="lambda">Lambda value.</param>
-        [TestCase(1.5)]
-        [TestCase(5.4)]
-        [TestCase(10.8)]
-        public void CanSetProbabilityOfOne(double lambda)
-        {
-            GC.KeepAlive(new Poisson(0.3)
-            {
-                Lambda = lambda
-            });
-        }
-
-        /// <summary>
-        /// Set probability of one fails with bad value.
-        /// </summary>
-        /// <param name="lambda">Lambda value.</param>
-        [TestCase(Double.NaN)]
-        [TestCase(-1.5)]
-        [TestCase(0.0)]
-        public void SetProbabilityOfOneFails(double lambda)
-        {
-            var d = new Poisson(0.3);
-            Assert.That(() => d.Lambda = lambda, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate entropy.
         /// </summary>

src/UnitTests/DistributionTests/Discrete/ZipfTests.cs

@@ -78,61 +78,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Discrete
             Assert.AreEqual("Zipf(S = 1, N = 5)", d.ToString());
         }
 
-        /// <summary>
-        /// Can set S.
-        /// </summary>
-        /// <param name="s">S parameter.</param>
-        [TestCase(0.1)]
-        [TestCase(1.0)]
-        [TestCase(5.0)]
-        public void CanSetS(double s)
-        {
-            GC.KeepAlive(new Zipf(1.0, 5)
-            {
-                S = s
-            });
-        }
-
-        /// <summary>
-        /// Set S fails with bad values.
-        /// </summary>
-        /// <param name="s">S parameter.</param>
-        [TestCase(Double.NaN)]
-        [TestCase(-1.0)]
-        [TestCase(Double.NegativeInfinity)]
-        public void SetSFails(double s)
-        {
-            var d = new Zipf(1.0, 5);
-            Assert.That(() => d.S = s, Throws.ArgumentException);
-        }
-
-        /// <summary>
-        /// Can set N.
-        /// </summary>
-        /// <param name="n">N parameter.</param>
-        [TestCase(1)]
-        [TestCase(20)]
-        [TestCase(50)]
-        public void CanSetN(int n)
-        {
-            GC.KeepAlive(new Zipf(1.0, 5)
-            {
-                N = n
-            });
-        }
-
-        /// <summary>
-        /// Set N fails with bad values.
-        /// </summary>
-        /// <param name="n">N parameter.</param>
-        [TestCase(-1)]
-        [TestCase(0)]
-        public void SetNFails(int n)
-        {
-            var d = new Zipf(1.0, 5);
-            Assert.That(() => d.N = n, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Validate entropy.
         /// </summary>

src/UnitTests/DistributionTests/Multivariate/DirichletTests.cs

@@ -145,23 +145,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Multivariate
             }
         }
 
-        /// <summary>
-        /// Can set alpha.
-        /// </summary>
-        [Test]
-        public void CanSetAlpha()
-        {
-            var d = new Dirichlet(0.3, 10);
-
-            var alpha = new double[10];
-            for (var i = 0; i < 10; i++)
-            {
-                alpha[i] = i;
-            }
-
-            d.Alpha = alpha;
-        }
-
         /// <summary>
         /// Validate mean.
         /// </summary>

src/UnitTests/DistributionTests/Multivariate/InverseWishartTests.cs

@@ -152,21 +152,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Multivariate
             Assert.AreEqual(nu, d.DegreesOfFreedom);
         }
 
-        /// <summary>
-        /// Can set DegreesOfFreedom.
-        /// </summary>
-        /// <param name="nu">DegreesOfFreedom parameter.</param>
-        [TestCase(1.0)]
-        [TestCase(2.0)]
-        [TestCase(5.0)]
-        public void CanSetNu(double nu)
-        {
-            GC.KeepAlive(new InverseWishart(1.0, Matrix<double>.Build.RandomPositiveDefinite(2, 1))
-            {
-                DegreesOfFreedom = nu
-            });
-        }
-
         /// <summary>
         /// Can get scale matrix.
         /// </summary>
@@ -186,18 +171,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Multivariate
             }
         }
 
-        /// <summary>
-        /// Can set scale matrix.
-        /// </summary>
-        [Test]
-        public void CanSetS()
-        {
-            GC.KeepAlive(new InverseWishart(1.0, Matrix<double>.Build.RandomPositiveDefinite(2, 1))
-            {
-                Scale = Matrix<double>.Build.RandomPositiveDefinite(2, 1)
-            });
-        }
-
         /// <summary>
         /// Validate mean.
         /// </summary>

src/UnitTests/DistributionTests/Multivariate/MatrixNormalTests.cs

@@ -173,22 +173,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Multivariate
             }
         }
 
-        /// <summary>
-        /// Can set M.
-        /// </summary>
-        /// <param name="n">Matrix rows count.</param>
-        /// <param name="p">Matrix columns count.</param>
-        [TestCase(1, 1)]
-        [TestCase(3, 3)]
-        [TestCase(10, 10)]
-        public void CanSetM(int n, int p)
-        {
-            GC.KeepAlive(new MatrixNormal(Matrix<double>.Build.Random(n, p, 1), Matrix<double>.Build.RandomPositiveDefinite(n, 1), Matrix<double>.Build.RandomPositiveDefinite(p, 1))
-            {
-                Mean = Matrix<double>.Build.Random(n, p, 1)
-            });
-        }
-
         /// <summary>
         /// Can get V matrix.
         /// </summary>
@@ -210,22 +194,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Multivariate
             }
         }
 
-        /// <summary>
-        /// Can set V matrix.
-        /// </summary>
-        /// <param name="n">Matrix rows count.</param>
-        /// <param name="p">Matrix columns count.</param>
-        [TestCase(1, 1)]
-        [TestCase(3, 3)]
-        [TestCase(10, 10)]
-        public void CanSetV(int n, int p)
-        {
-            GC.KeepAlive(new MatrixNormal(Matrix<double>.Build.Random(n, p, 1), Matrix<double>.Build.RandomPositiveDefinite(n, 1), Matrix<double>.Build.RandomPositiveDefinite(p, 1))
-            {
-                RowCovariance = Matrix<double>.Build.RandomPositiveDefinite(n, 1)
-            });
-        }
-
         /// <summary>
         /// Can get K matrix.
         /// </summary>
@@ -247,22 +215,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Multivariate
             }
         }
 
-        /// <summary>
-        /// Can set K matrix.
-        /// </summary>
-        /// <param name="n">Matrix rows count.</param>
-        /// <param name="p">Matrix columns count.</param>
-        [TestCase(1, 1)]
-        [TestCase(3, 3)]
-        [TestCase(10, 10)]
-        public void CanSetK(int n, int p)
-        {
-            GC.KeepAlive(new MatrixNormal(Matrix<double>.Build.Random(n, p, 1), Matrix<double>.Build.RandomPositiveDefinite(n, 1), Matrix<double>.Build.RandomPositiveDefinite(p, 1))
-            {
-                ColumnCovariance = Matrix<double>.Build.RandomPositiveDefinite(p, 1)
-            });
-        }
-
         /// <summary>
         /// Validate density.
         /// </summary>

src/UnitTests/DistributionTests/Multivariate/MultinomialTests.cs

@@ -219,28 +219,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Multivariate
             AssertHelpers.AlmostEqualRelative(b.ProbabilityLn(x), Math.Log(b.Probability(x)), 12);
         }
 
-        /// <summary>
-        /// Can set probability.
-        /// </summary>
-        [Test]
-        public void CanSetProbability()
-        {
-            GC.KeepAlive(new Multinomial(_largeP, 4)
-            {
-                P = _smallP
-            });
-        }
-
-        /// <summary>
-        /// Set bad values of probability fails.
-        /// </summary>
-        [Test]
-        public void SetProbabilityFails()
-        {
-            var b = new Multinomial(_largeP, 4);
-            Assert.That(() => b.P = _badP, Throws.ArgumentException);
-        }
-
         /// <summary>
         /// Can sample static.
         /// </summary>

src/UnitTests/DistributionTests/Multivariate/NormalGammaTests.cs

@@ -97,28 +97,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Multivariate
             Assert.AreEqual(meanLocation, ng.MeanLocation);
         }
 
-        /// <summary>
-        /// Can set mean location.
-        /// </summary>
-        /// <param name="meanLocation">Mean location.</param>
-        /// <param name="meanScale">Mean scale.</param>
-        /// <param name="precShape">Precision shape.</param>
-        /// <param name="precInvScale">Precision inverse scale.</param>
-        [TestCase(0.0, 1.0, 1.0, 1.0)]
-        [TestCase(10.0, 2.0, 2.0, 2.0)]
-        public void CanSetMeanLocation(double meanLocation, double meanScale, double precShape, double precInvScale)
-        {
-            var ng = new NormalGamma(meanLocation, meanScale, precShape, precInvScale)
-                     {
-                         MeanLocation = -5.0
-                     };
-
-            Assert.AreEqual(-5.0, ng.MeanLocation);
-            Assert.AreEqual(meanScale, ng.MeanScale);
-            Assert.AreEqual(precShape, ng.PrecisionShape);
-            Assert.AreEqual(precInvScale, ng.PrecisionInverseScale);
-        }
-
         /// <summary>
         /// Can get mean scale.
         /// </summary>
@@ -134,27 +112,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Multivariate
             Assert.AreEqual(meanScale, ng.MeanScale);
         }
 
-        /// <summary>
-        /// Can set mean scale.
-        /// </summary>
-        /// <param name="meanLocation">Mean location.</param>
-        /// <param name="meanScale">Mean scale.</param>
-        /// <param name="precShape">Precision shape.</param>
-        /// <param name="precInvScale">Precision inverse scale.</param>
-        [TestCase(0.0, 1.0, 1.0, 1.0)]
-        [TestCase(10.0, 2.0, 2.0, 2.0)]
-        public void CanSetMeanScale(double meanLocation, double meanScale, double precShape, double precInvScale)
-        {
-            var ng = new NormalGamma(meanLocation, meanScale, precShape, precInvScale)
-                     {
-                         MeanScale = 5.0
-                     };
-            Assert.AreEqual(meanLocation, ng.MeanLocation);
-            Assert.AreEqual(5.0, ng.MeanScale);
-            Assert.AreEqual(precShape, ng.PrecisionShape);
-            Assert.AreEqual(precInvScale, ng.PrecisionInverseScale);
-        }
-
         /// <summary>
         /// Can get precision shape.
         /// </summary>
@@ -170,27 +127,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Multivariate
             Assert.AreEqual(precShape, ng.PrecisionShape);
         }
 
-        /// <summary>
-        /// Can set precision shape.
-        /// </summary>
-        /// <param name="meanLocation">Mean location.</param>
-        /// <param name="meanScale">Mean scale.</param>
-        /// <param name="precShape">Precision shape.</param>
-        /// <param name="precInvScale">Precision inverse scale.</param>
-        [TestCase(0.0, 1.0, 1.0, 1.0)]
-        [TestCase(10.0, 2.0, 2.0, 2.0)]
-        public void CanSetPrecisionShape(double meanLocation, double meanScale, double precShape, double precInvScale)
-        {
-            var ng = new NormalGamma(meanLocation, meanScale, precShape, precInvScale)
-                     {
-                         PrecisionShape = 5.0
-                     };
-            Assert.AreEqual(meanLocation, ng.MeanLocation);
-            Assert.AreEqual(meanScale, ng.MeanScale);
-            Assert.AreEqual(5.0, ng.PrecisionShape);
-            Assert.AreEqual(precInvScale, ng.PrecisionInverseScale);
-        }
-
         /// <summary>
         /// Can get precision inverse scale.
         /// </summary>
@@ -206,27 +142,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Multivariate
             Assert.AreEqual(precInvScale, ng.PrecisionInverseScale);
         }
 
-        /// <summary>
-        /// Can set precision inverse scale.
-        /// </summary>
-        /// <param name="meanLocation">Mean location.</param>
-        /// <param name="meanScale">Mean scale.</param>
-        /// <param name="precShape">Precision shape.</param>
-        /// <param name="precInvScale">Precision inverse scale.</param>
-        [TestCase(0.0, 1.0, 1.0, 1.0)]
-        [TestCase(10.0, 2.0, 2.0, 2.0)]
-        public void CanSetPrecisionPrecisionInverseScale(double meanLocation, double meanScale, double precShape, double precInvScale)
-        {
-            var ng = new NormalGamma(meanLocation, meanScale, precShape, precInvScale)
-                     {
-                         PrecisionInverseScale = 5.0
-                     };
-            Assert.AreEqual(meanLocation, ng.MeanLocation);
-            Assert.AreEqual(meanScale, ng.MeanScale);
-            Assert.AreEqual(precShape, ng.PrecisionShape);
-            Assert.AreEqual(5.0, ng.PrecisionInverseScale);
-        }
-
         /// <summary>
         /// Can get mean marginals.
         /// </summary>

src/UnitTests/DistributionTests/Multivariate/WishartTests.cs

@@ -146,21 +146,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Multivariate
             Assert.AreEqual(nu, d.DegreesOfFreedom);
         }
 
-        /// <summary>
-        /// Can set DegreesOfFreedom.
-        /// </summary>
-        /// <param name="nu">DegreesOfFreedom parameter.</param>
-        [TestCase(1.0)]
-        [TestCase(2.0)]
-        [TestCase(5.0)]
-        public void CanSetNu(double nu)
-        {
-            GC.KeepAlive(new Wishart(1.0, Matrix<double>.Build.RandomPositiveDefinite(2, 1))
-            {
-                DegreesOfFreedom = nu
-            });
-        }
-
         /// <summary>
         /// Can get scale matrix.
         /// </summary>
@@ -180,18 +165,6 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Multivariate
             }
         }
 
-        /// <summary>
-        /// Can set scale matrix.
-        /// </summary>
-        [Test]
-        public void CanSetS()
-        {
-            GC.KeepAlive(new Wishart(1.0, Matrix<double>.Build.RandomPositiveDefinite(2, 1))
-            {
-                Scale = Matrix<double>.Build.RandomPositiveDefinite(2, 1)
-            });
-        }
-
         /// <summary>
         /// Validate mean.
         /// </summary>

src/UnitTests/InterpolationTests/CubicSplineTest.cs

@@ -30,7 +30,6 @@
 
 using System;
 using System.Linq;
-using System.Threading.Tasks;
 using MathNet.Numerics.Interpolation;
 using NUnit.Framework;
 
@@ -177,6 +176,7 @@ namespace MathNet.Numerics.UnitTests.InterpolationTests
             }
         }
 
+#if !NET35 && !PORTABLE
         [Test]
         public void InterpolateAkimaSorted_MustBeThreadSafe_GitHub219([Values(8, 32, 256, 1024)] int samples)
         {
@@ -188,7 +188,7 @@ namespace MathNet.Numerics.UnitTests.InterpolationTests
             }
 
             var yipol = new double[samples];
-            Parallel.For(0, samples, i =>
+            System.Threading.Tasks.Parallel.For(0, samples, i =>
             {
                 var spline = CubicSpline.InterpolateAkimaSorted(x, y[i]);
                 yipol[i] = spline.Interpolate(1.0);
@@ -196,5 +196,7 @@ namespace MathNet.Numerics.UnitTests.InterpolationTests
 
             CollectionAssert.DoesNotContain(yipol, Double.NaN);
         }
+#endif
+
     }
 }