diff --git a/src/Numerics/Distributions/Bernoulli.cs b/src/Numerics/Distributions/Bernoulli.cs
index 62ece6c0..3e291af0 100644
--- a/src/Numerics/Distributions/Bernoulli.cs
+++ b/src/Numerics/Distributions/Bernoulli.cs
@@ -101,7 +101,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the probability of generating a one. Range: 0 ≤ p ≤ 1.
+        /// Gets the probability of generating a one. Range: 0 ≤ p ≤ 1.
         /// </summary>
         public double P
         {
diff --git a/src/Numerics/Distributions/Beta.cs b/src/Numerics/Distributions/Beta.cs
index a924f8b2..f78e53d0 100644
--- a/src/Numerics/Distributions/Beta.cs
+++ b/src/Numerics/Distributions/Beta.cs
@@ -112,7 +112,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the α shape parameter of the Beta distribution. Range: α ≥ 0.
+        /// Gets the α shape parameter of the Beta distribution. Range: α ≥ 0.
         /// </summary>
         public double A
         {
@@ -120,7 +120,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the β shape parameter of the Beta distribution. Range: β ≥ 0.
+        /// Gets the β shape parameter of the Beta distribution. Range: β ≥ 0.
         /// </summary>
         public double B
         {
diff --git a/src/Numerics/Distributions/BetaScaled.cs b/src/Numerics/Distributions/BetaScaled.cs
index 2f9f004b..031c4dcb 100644
--- a/src/Numerics/Distributions/BetaScaled.cs
+++ b/src/Numerics/Distributions/BetaScaled.cs
@@ -153,7 +153,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the α shape parameter of the BetaScaled distribution. Range: α > 0.
+        /// Gets the α shape parameter of the BetaScaled distribution. Range: α > 0.
         /// </summary>
         public double A
         {
@@ -161,7 +161,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the β shape parameter of the BetaScaled distribution. Range: β > 0.
+        /// Gets the β shape parameter of the BetaScaled distribution. Range: β > 0.
         /// </summary>
         public double B
         {
@@ -169,7 +169,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the location (μ) of the BetaScaled distribution.
+        /// Gets the location (μ) of the BetaScaled distribution.
         /// </summary>
         public double Location
         {
@@ -177,7 +177,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the scale (σ) of the BetaScaled distribution. Range: σ > 0.
+        /// Gets the scale (σ) of the BetaScaled distribution. Range: σ > 0.
         /// </summary>
         public double Scale
         {
diff --git a/src/Numerics/Distributions/Binomial.cs b/src/Numerics/Distributions/Binomial.cs
index fd4acad6..4fbf4d02 100644
--- a/src/Numerics/Distributions/Binomial.cs
+++ b/src/Numerics/Distributions/Binomial.cs
@@ -110,7 +110,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the success probability in each trial. Range: 0 ≤ p ≤ 1.
+        /// Gets the success probability in each trial. Range: 0 ≤ p ≤ 1.
         /// </summary>
         public double P
         {
@@ -118,7 +118,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the number of trials. Range: n ≥ 0.
+        /// Gets the number of trials. Range: n ≥ 0.
         /// </summary>
         public int N
         {
diff --git a/src/Numerics/Distributions/Categorical.cs b/src/Numerics/Distributions/Categorical.cs
index 5d1507be..2e412d95 100644
--- a/src/Numerics/Distributions/Categorical.cs
+++ b/src/Numerics/Distributions/Categorical.cs
@@ -203,7 +203,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the probability mass vector (non-negative ratios) of the multinomial.
+        /// Gets the probability mass vector (non-negative ratios) of the multinomial.
         /// </summary>
         /// <remarks>Sometimes the normalized probability vector cannot be represented exactly in a floating point representation.</remarks>
         public double[] P
diff --git a/src/Numerics/Distributions/Cauchy.cs b/src/Numerics/Distributions/Cauchy.cs
index 76aba49b..a9aac671 100644
--- a/src/Numerics/Distributions/Cauchy.cs
+++ b/src/Numerics/Distributions/Cauchy.cs
@@ -110,7 +110,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the location  (x0) of the distribution.
+        /// Gets the location  (x0) of the distribution.
         /// </summary>
         public double Location
         {
@@ -118,7 +118,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the scale (γ) of the distribution. Range: γ > 0.
+        /// Gets the scale (γ) of the distribution. Range: γ > 0.
         /// </summary>
         public double Scale
         {
diff --git a/src/Numerics/Distributions/Chi.cs b/src/Numerics/Distributions/Chi.cs
index d1e504f8..f10c32be 100644
--- a/src/Numerics/Distributions/Chi.cs
+++ b/src/Numerics/Distributions/Chi.cs
@@ -99,7 +99,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the degrees of freedom (k) of the Chi distribution. Range: k > 0.
+        /// Gets the degrees of freedom (k) of the Chi distribution. Range: k > 0.
         /// </summary>
         public double DegreesOfFreedom
         {
diff --git a/src/Numerics/Distributions/ChiSquared.cs b/src/Numerics/Distributions/ChiSquared.cs
index 1e74160c..c948fab7 100644
--- a/src/Numerics/Distributions/ChiSquared.cs
+++ b/src/Numerics/Distributions/ChiSquared.cs
@@ -97,7 +97,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the degrees of freedom (k) of the Chi-Squared distribution. Range: k > 0.
+        /// Gets the degrees of freedom (k) of the Chi-Squared distribution. Range: k > 0.
         /// </summary>
         public double DegreesOfFreedom
         {
diff --git a/src/Numerics/Distributions/ContinuousUniform.cs b/src/Numerics/Distributions/ContinuousUniform.cs
index 19764732..57bf96e3 100644
--- a/src/Numerics/Distributions/ContinuousUniform.cs
+++ b/src/Numerics/Distributions/ContinuousUniform.cs
@@ -112,7 +112,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the lower bound of the distribution.
+        /// Gets the lower bound of the distribution.
         /// </summary>
         public double LowerBound
         {
@@ -120,7 +120,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the upper bound of the distribution.
+        /// Gets the upper bound of the distribution.
         /// </summary>
         public double UpperBound
         {
diff --git a/src/Numerics/Distributions/ConwayMaxwellPoisson.cs b/src/Numerics/Distributions/ConwayMaxwellPoisson.cs
index fb82cbdb..7ffb7e83 100644
--- a/src/Numerics/Distributions/ConwayMaxwellPoisson.cs
+++ b/src/Numerics/Distributions/ConwayMaxwellPoisson.cs
@@ -131,7 +131,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the lambda (λ) parameter. Range: λ > 0.
+        /// Gets the lambda (λ) parameter. Range: λ > 0.
         /// </summary>
         public double Lambda
         {
@@ -139,7 +139,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the rate of decay (ν) parameter. Range: ν ≥ 0.
+        /// Gets the rate of decay (ν) parameter. Range: ν ≥ 0.
         /// </summary>
         public double Nu
         {
diff --git a/src/Numerics/Distributions/Erlang.cs b/src/Numerics/Distributions/Erlang.cs
index ca533188..60b4330f 100644
--- a/src/Numerics/Distributions/Erlang.cs
+++ b/src/Numerics/Distributions/Erlang.cs
@@ -133,7 +133,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the shape (k) of the Erlang distribution. Range: k ≥ 0.
+        /// Gets the shape (k) of the Erlang distribution. Range: k ≥ 0.
         /// </summary>
         public int Shape
         {
@@ -141,7 +141,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the rate or inverse scale (λ) of the Erlang distribution. Range: λ ≥ 0.
+        /// Gets the rate or inverse scale (λ) of the Erlang distribution. Range: λ ≥ 0.
         /// </summary>
         public double Rate
         {
@@ -149,7 +149,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the scale of the Erlang distribution.
+        /// Gets the scale of the Erlang distribution.
         /// </summary>
         public double Scale
         {
diff --git a/src/Numerics/Distributions/Exponential.cs b/src/Numerics/Distributions/Exponential.cs
index 8b06db23..41144b57 100644
--- a/src/Numerics/Distributions/Exponential.cs
+++ b/src/Numerics/Distributions/Exponential.cs
@@ -98,7 +98,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the rate (λ) parameter of the distribution. Range: λ ≥ 0.
+        /// Gets the rate (λ) parameter of the distribution. Range: λ ≥ 0.
         /// </summary>
         public double Rate
         {
diff --git a/src/Numerics/Distributions/FisherSnedecor.cs b/src/Numerics/Distributions/FisherSnedecor.cs
index c0b2478d..9536dc9c 100644
--- a/src/Numerics/Distributions/FisherSnedecor.cs
+++ b/src/Numerics/Distributions/FisherSnedecor.cs
@@ -104,7 +104,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the first degree of freedom (d1) of the distribution. Range: d1 > 0.
+        /// Gets the first degree of freedom (d1) of the distribution. Range: d1 > 0.
         /// </summary>
         public double DegreesOfFreedom1
         {
@@ -112,7 +112,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the second degree of freedom (d2) of the distribution. Range: d2 > 0.
+        /// Gets the second degree of freedom (d2) of the distribution. Range: d2 > 0.
         /// </summary>
         public double DegreesOfFreedom2
         {
diff --git a/src/Numerics/Distributions/Geometric.cs b/src/Numerics/Distributions/Geometric.cs
index 8d1f80f2..9ab8f258 100644
--- a/src/Numerics/Distributions/Geometric.cs
+++ b/src/Numerics/Distributions/Geometric.cs
@@ -99,7 +99,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the probability of generating a one. Range: 0 ≤ p ≤ 1.
+        /// Gets the probability of generating a one. Range: 0 ≤ p ≤ 1.
         /// </summary>
         public double P
         {
diff --git a/src/Numerics/Distributions/Hypergeometric.cs b/src/Numerics/Distributions/Hypergeometric.cs
index 2eb44e33..9c3e73de 100644
--- a/src/Numerics/Distributions/Hypergeometric.cs
+++ b/src/Numerics/Distributions/Hypergeometric.cs
@@ -121,7 +121,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the size of the population (N).
+        /// Gets the size of the population (N).
         /// </summary>
         public int Population
         {
@@ -129,7 +129,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the number of draws without replacement (n).
+        /// Gets the number of draws without replacement (n).
         /// </summary>
         public int Draws
         {
@@ -137,7 +137,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the number successes within the population (K, M).
+        /// Gets the number successes within the population (K, M).
         /// </summary>
         public int Success
         {
diff --git a/src/Numerics/Distributions/Laplace.cs b/src/Numerics/Distributions/Laplace.cs
index 59f3d77e..5130eb54 100644
--- a/src/Numerics/Distributions/Laplace.cs
+++ b/src/Numerics/Distributions/Laplace.cs
@@ -115,7 +115,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the location (μ) of the Laplace distribution.
+        /// Gets the location (μ) of the Laplace distribution.
         /// </summary>
         public double Location
         {
@@ -123,7 +123,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the scale (b) of the Laplace distribution. Range: b > 0.
+        /// Gets the scale (b) of the Laplace distribution. Range: b > 0.
         /// </summary>
         public double Scale
         {
diff --git a/src/Numerics/Distributions/LogNormal.cs b/src/Numerics/Distributions/LogNormal.cs
index b59bb8af..4aed7031 100644
--- a/src/Numerics/Distributions/LogNormal.cs
+++ b/src/Numerics/Distributions/LogNormal.cs
@@ -147,7 +147,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the log-scale (μ) (mean of the logarithm) of the distribution.
+        /// Gets the log-scale (μ) (mean of the logarithm) of the distribution.
         /// </summary>
         public double Mu
         {
@@ -155,7 +155,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the shape (σ) (standard deviation of the logarithm) of the distribution. Range: σ ≥ 0.
+        /// Gets the shape (σ) (standard deviation of the logarithm) of the distribution. Range: σ ≥ 0.
         /// </summary>
         public double Sigma
         {
diff --git a/src/Numerics/Distributions/MatrixNormal.cs b/src/Numerics/Distributions/MatrixNormal.cs
index c014d7d4..6187442b 100644
--- a/src/Numerics/Distributions/MatrixNormal.cs
+++ b/src/Numerics/Distributions/MatrixNormal.cs
@@ -153,7 +153,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the mean. (M)
+        /// Gets the mean. (M)
         /// </summary>
         /// <value>The mean of the distribution.</value>
         public Matrix<double> Mean
@@ -162,7 +162,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the row covariance. (V)
+        /// Gets the row covariance. (V)
         /// </summary>
         /// <value>The row covariance.</value>
         public Matrix<double> RowCovariance
@@ -171,7 +171,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the column covariance. (K)
+        /// Gets the column covariance. (K)
         /// </summary>
         /// <value>The column covariance.</value>
         public Matrix<double> ColumnCovariance
diff --git a/src/Numerics/Distributions/Multinomial.cs b/src/Numerics/Distributions/Multinomial.cs
index 81f4d2c7..42b4b29c 100644
--- a/src/Numerics/Distributions/Multinomial.cs
+++ b/src/Numerics/Distributions/Multinomial.cs
@@ -176,7 +176,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the proportion of ratios.
+        /// Gets the proportion of ratios.
         /// </summary>
         public double[] P
         {
@@ -184,7 +184,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the number of trials.
+        /// Gets the number of trials.
         /// </summary>
         public int N
         {
diff --git a/src/Numerics/Distributions/NegativeBinomial.cs b/src/Numerics/Distributions/NegativeBinomial.cs
index f1ccab53..98c90bf0 100644
--- a/src/Numerics/Distributions/NegativeBinomial.cs
+++ b/src/Numerics/Distributions/NegativeBinomial.cs
@@ -106,7 +106,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the number of trials. Range: r ≥ 0.
+        /// Gets the number of trials. Range: r ≥ 0.
         /// </summary>
         public double R
         {
@@ -114,7 +114,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the probability of success. Range: 0 ≤ p ≤ 1.
+        /// Gets the probability of success. Range: 0 ≤ p ≤ 1.
         /// </summary>
         public double P
         {
diff --git a/src/Numerics/Distributions/Normal.cs b/src/Numerics/Distributions/Normal.cs
index ea84578b..b3a028e2 100644
--- a/src/Numerics/Distributions/Normal.cs
+++ b/src/Numerics/Distributions/Normal.cs
@@ -175,7 +175,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the mean (μ) of the normal distribution.
+        /// Gets the mean (μ) of the normal distribution.
         /// </summary>
         public double Mean
         {
@@ -183,7 +183,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the standard deviation (σ) of the normal distribution. Range: σ ≥ 0.
+        /// Gets the standard deviation (σ) of the normal distribution. Range: σ ≥ 0.
         /// </summary>
         public double StdDev
         {
@@ -191,7 +191,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the variance of the normal distribution.
+        /// Gets the variance of the normal distribution.
         /// </summary>
         public double Variance
         {
@@ -199,7 +199,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the precision of the normal distribution.
+        /// Gets the precision of the normal distribution.
         /// </summary>
         public double Precision
         {
@@ -207,7 +207,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the random number generator which is used to draw random samples.
+        /// Gets the random number generator which is used to draw random samples.
         /// </summary>
         public System.Random RandomSource
         {
diff --git a/src/Numerics/Distributions/NormalGamma.cs b/src/Numerics/Distributions/NormalGamma.cs
index 9a81720a..2d9161fc 100644
--- a/src/Numerics/Distributions/NormalGamma.cs
+++ b/src/Numerics/Distributions/NormalGamma.cs
@@ -169,7 +169,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the location of the mean.
+        /// Gets the location of the mean.
         /// </summary>
         public double MeanLocation
         {
@@ -177,7 +177,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the scale of the mean.
+        /// Gets the scale of the mean.
         /// </summary>
         public double MeanScale
         {
@@ -185,7 +185,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the shape of the precision.
+        /// Gets the shape of the precision.
         /// </summary>
         public double PrecisionShape
         {
@@ -193,7 +193,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the inverse scale of the precision.
+        /// Gets the inverse scale of the precision.
         /// </summary>
         public double PrecisionInverseScale
         {
diff --git a/src/Numerics/Distributions/Pareto.cs b/src/Numerics/Distributions/Pareto.cs
index 1f272757..c6c43e71 100644
--- a/src/Numerics/Distributions/Pareto.cs
+++ b/src/Numerics/Distributions/Pareto.cs
@@ -108,7 +108,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the scale (xm) of the distribution. Range: xm > 0.
+        /// Gets the scale (xm) of the distribution. Range: xm > 0.
         /// </summary>
         public double Scale
         {
@@ -116,7 +116,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the shape (α) of the distribution. Range: α > 0.
+        /// Gets the shape (α) of the distribution. Range: α > 0.
         /// </summary>
         public double Shape
         {
diff --git a/src/Numerics/Distributions/Poisson.cs b/src/Numerics/Distributions/Poisson.cs
index 9156c35c..e4b12007 100644
--- a/src/Numerics/Distributions/Poisson.cs
+++ b/src/Numerics/Distributions/Poisson.cs
@@ -103,7 +103,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the Poisson distribution parameter λ. Range: λ > 0.
+        /// Gets the Poisson distribution parameter λ. Range: λ > 0.
         /// </summary>
         public double Lambda
         {
@@ -111,7 +111,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the random number generator which is used to draw random samples.
+        /// Gets the random number generator which is used to draw random samples.
         /// </summary>
         public System.Random RandomSource
         {
diff --git a/src/Numerics/Distributions/Rayleigh.cs b/src/Numerics/Distributions/Rayleigh.cs
index 73a5c6df..103da833 100644
--- a/src/Numerics/Distributions/Rayleigh.cs
+++ b/src/Numerics/Distributions/Rayleigh.cs
@@ -103,7 +103,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the scale (σ) of the distribution. Range: σ > 0.
+        /// Gets the scale (σ) of the distribution. Range: σ > 0.
         /// </summary>
         public double Scale
         {
diff --git a/src/Numerics/Distributions/Stable.cs b/src/Numerics/Distributions/Stable.cs
index ef6fcdbe..e59b030e 100644
--- a/src/Numerics/Distributions/Stable.cs
+++ b/src/Numerics/Distributions/Stable.cs
@@ -117,7 +117,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the stability (α) of the distribution. Range: 2 ≥ α > 0.
+        /// Gets the stability (α) of the distribution. Range: 2 ≥ α > 0.
         /// </summary>
         public double Alpha
         {
@@ -125,7 +125,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets The skewness (β) of the distribution. Range: 1 ≥ β ≥ -1.
+        /// Gets The skewness (β) of the distribution. Range: 1 ≥ β ≥ -1.
         /// </summary>
         public double Beta
         {
@@ -133,7 +133,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the scale (c) of the distribution. Range: c > 0.
+        /// Gets the scale (c) of the distribution. Range: c > 0.
         /// </summary>
         public double Scale
         {
@@ -141,7 +141,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the location (μ) of the distribution.
+        /// Gets the location (μ) of the distribution.
         /// </summary>
         public double Location
         {
diff --git a/src/Numerics/Distributions/StudentT.cs b/src/Numerics/Distributions/StudentT.cs
index 56d42dd2..303e0d41 100644
--- a/src/Numerics/Distributions/StudentT.cs
+++ b/src/Numerics/Distributions/StudentT.cs
@@ -139,7 +139,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the location (μ) of the Student t-distribution.
+        /// Gets the location (μ) of the Student t-distribution.
         /// </summary>
         public double Location
         {
@@ -147,7 +147,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the scale (σ) of the Student t-distribution. Range: σ > 0.
+        /// Gets the scale (σ) of the Student t-distribution. Range: σ > 0.
         /// </summary>
         public double Scale
         {
@@ -155,7 +155,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the degrees of freedom (ν) of the Student t-distribution. Range: ν > 0.
+        /// Gets the degrees of freedom (ν) of the Student t-distribution. Range: ν > 0.
         /// </summary>
         public double DegreesOfFreedom
         {
diff --git a/src/Numerics/Distributions/Triangular.cs b/src/Numerics/Distributions/Triangular.cs
index d808e53b..f162658b 100644
--- a/src/Numerics/Distributions/Triangular.cs
+++ b/src/Numerics/Distributions/Triangular.cs
@@ -115,7 +115,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the lower bound of the distribution.
+        /// Gets the lower bound of the distribution.
         /// </summary>
         public double LowerBound
         {
@@ -123,7 +123,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the upper bound of the distribution.
+        /// Gets the upper bound of the distribution.
         /// </summary>
         public double UpperBound
         {
diff --git a/src/Numerics/Distributions/Weibull.cs b/src/Numerics/Distributions/Weibull.cs
index 271af73f..f3ef6552 100644
--- a/src/Numerics/Distributions/Weibull.cs
+++ b/src/Numerics/Distributions/Weibull.cs
@@ -118,7 +118,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the shape (k) of the Weibull distribution. Range: k > 0.
+        /// Gets the shape (k) of the Weibull distribution. Range: k > 0.
         /// </summary>
         public double Shape
         {
@@ -126,7 +126,7 @@ namespace MathNet.Numerics.Distributions
         }
 
         /// <summary>
-        /// Gets or sets the scale (λ) of the Weibull distribution. Range: λ > 0.
+        /// Gets the scale (λ) of the Weibull distribution. Range: λ > 0.
         /// </summary>
         public double Scale
         {
diff --git a/src/Numerics/Statistics/ArrayStatistics.cs b/src/Numerics/Statistics/ArrayStatistics.cs
index 55bd3e52..11df7ba3 100644
--- a/src/Numerics/Statistics/ArrayStatistics.cs
+++ b/src/Numerics/Statistics/ArrayStatistics.cs
@@ -94,7 +94,7 @@ namespace MathNet.Numerics.Statistics
         }
 
         /// <summary>
-        /// Returns the smallest value from the unsorted data array.
+        /// Returns the largest value from the unsorted data array.
         /// Returns NaN if data is empty or any entry is NaN.
         /// </summary>
         /// <param name="data">Sample array, no sorting is assumed.</param>