Browse Source

Merge pull request #342 from BenHewins/master

Minor comment corrections
netstandard
Christoph Ruegg 11 years ago
parent
commit
7bdf90c6fc
  1. 2
      src/Numerics/Distributions/Bernoulli.cs
  2. 4
      src/Numerics/Distributions/Beta.cs
  3. 8
      src/Numerics/Distributions/BetaScaled.cs
  4. 4
      src/Numerics/Distributions/Binomial.cs
  5. 2
      src/Numerics/Distributions/Categorical.cs
  6. 4
      src/Numerics/Distributions/Cauchy.cs
  7. 2
      src/Numerics/Distributions/Chi.cs
  8. 2
      src/Numerics/Distributions/ChiSquared.cs
  9. 4
      src/Numerics/Distributions/ContinuousUniform.cs
  10. 4
      src/Numerics/Distributions/ConwayMaxwellPoisson.cs
  11. 6
      src/Numerics/Distributions/Erlang.cs
  12. 2
      src/Numerics/Distributions/Exponential.cs
  13. 4
      src/Numerics/Distributions/FisherSnedecor.cs
  14. 2
      src/Numerics/Distributions/Geometric.cs
  15. 6
      src/Numerics/Distributions/Hypergeometric.cs
  16. 4
      src/Numerics/Distributions/Laplace.cs
  17. 4
      src/Numerics/Distributions/LogNormal.cs
  18. 6
      src/Numerics/Distributions/MatrixNormal.cs
  19. 4
      src/Numerics/Distributions/Multinomial.cs
  20. 4
      src/Numerics/Distributions/NegativeBinomial.cs
  21. 10
      src/Numerics/Distributions/Normal.cs
  22. 8
      src/Numerics/Distributions/NormalGamma.cs
  23. 4
      src/Numerics/Distributions/Pareto.cs
  24. 4
      src/Numerics/Distributions/Poisson.cs
  25. 2
      src/Numerics/Distributions/Rayleigh.cs
  26. 8
      src/Numerics/Distributions/Stable.cs
  27. 6
      src/Numerics/Distributions/StudentT.cs
  28. 4
      src/Numerics/Distributions/Triangular.cs
  29. 4
      src/Numerics/Distributions/Weibull.cs
  30. 2
      src/Numerics/Statistics/ArrayStatistics.cs

2
src/Numerics/Distributions/Bernoulli.cs

@ -101,7 +101,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double P public double P
{ {

4
src/Numerics/Distributions/Beta.cs

@ -112,7 +112,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double A public double A
{ {
@ -120,7 +120,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double B public double B
{ {

8
src/Numerics/Distributions/BetaScaled.cs

@ -153,7 +153,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double A public double A
{ {
@ -161,7 +161,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double B public double B
{ {
@ -169,7 +169,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the location (μ) of the BetaScaled distribution. /// Gets the location (μ) of the BetaScaled distribution.
/// </summary> /// </summary>
public double Location public double Location
{ {
@ -177,7 +177,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double Scale public double Scale
{ {

4
src/Numerics/Distributions/Binomial.cs

@ -110,7 +110,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double P public double P
{ {
@ -118,7 +118,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the number of trials. Range: n ≥ 0. /// Gets the number of trials. Range: n ≥ 0.
/// </summary> /// </summary>
public int N public int N
{ {

2
src/Numerics/Distributions/Categorical.cs

@ -203,7 +203,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
/// <remarks>Sometimes the normalized probability vector cannot be represented exactly in a floating point representation.</remarks> /// <remarks>Sometimes the normalized probability vector cannot be represented exactly in a floating point representation.</remarks>
public double[] P public double[] P

4
src/Numerics/Distributions/Cauchy.cs

@ -110,7 +110,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the location (x0) of the distribution. /// Gets the location (x0) of the distribution.
/// </summary> /// </summary>
public double Location public double Location
{ {
@ -118,7 +118,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the scale (γ) of the distribution. Range: γ > 0. /// Gets the scale (γ) of the distribution. Range: γ > 0.
/// </summary> /// </summary>
public double Scale public double Scale
{ {

2
src/Numerics/Distributions/Chi.cs

@ -99,7 +99,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double DegreesOfFreedom public double DegreesOfFreedom
{ {

2
src/Numerics/Distributions/ChiSquared.cs

@ -97,7 +97,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double DegreesOfFreedom public double DegreesOfFreedom
{ {

4
src/Numerics/Distributions/ContinuousUniform.cs

@ -112,7 +112,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the lower bound of the distribution. /// Gets the lower bound of the distribution.
/// </summary> /// </summary>
public double LowerBound public double LowerBound
{ {
@ -120,7 +120,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the upper bound of the distribution. /// Gets the upper bound of the distribution.
/// </summary> /// </summary>
public double UpperBound public double UpperBound
{ {

4
src/Numerics/Distributions/ConwayMaxwellPoisson.cs

@ -131,7 +131,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the lambda (λ) parameter. Range: λ > 0. /// Gets the lambda (λ) parameter. Range: λ > 0.
/// </summary> /// </summary>
public double Lambda public double Lambda
{ {
@ -139,7 +139,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the rate of decay (ν) parameter. Range: ν ≥ 0. /// Gets the rate of decay (ν) parameter. Range: ν ≥ 0.
/// </summary> /// </summary>
public double Nu public double Nu
{ {

6
src/Numerics/Distributions/Erlang.cs

@ -133,7 +133,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public int Shape public int Shape
{ {
@ -141,7 +141,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double Rate public double Rate
{ {
@ -149,7 +149,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the scale of the Erlang distribution. /// Gets the scale of the Erlang distribution.
/// </summary> /// </summary>
public double Scale public double Scale
{ {

2
src/Numerics/Distributions/Exponential.cs

@ -98,7 +98,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double Rate public double Rate
{ {

4
src/Numerics/Distributions/FisherSnedecor.cs

@ -104,7 +104,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double DegreesOfFreedom1 public double DegreesOfFreedom1
{ {
@ -112,7 +112,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double DegreesOfFreedom2 public double DegreesOfFreedom2
{ {

2
src/Numerics/Distributions/Geometric.cs

@ -99,7 +99,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double P public double P
{ {

6
src/Numerics/Distributions/Hypergeometric.cs

@ -121,7 +121,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the size of the population (N). /// Gets the size of the population (N).
/// </summary> /// </summary>
public int Population public int Population
{ {
@ -129,7 +129,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the number of draws without replacement (n). /// Gets the number of draws without replacement (n).
/// </summary> /// </summary>
public int Draws public int Draws
{ {
@ -137,7 +137,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the number successes within the population (K, M). /// Gets the number successes within the population (K, M).
/// </summary> /// </summary>
public int Success public int Success
{ {

4
src/Numerics/Distributions/Laplace.cs

@ -115,7 +115,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the location (μ) of the Laplace distribution. /// Gets the location (μ) of the Laplace distribution.
/// </summary> /// </summary>
public double Location public double Location
{ {
@ -123,7 +123,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double Scale public double Scale
{ {

4
src/Numerics/Distributions/LogNormal.cs

@ -147,7 +147,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double Mu public double Mu
{ {
@ -155,7 +155,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double Sigma public double Sigma
{ {

6
src/Numerics/Distributions/MatrixNormal.cs

@ -153,7 +153,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the mean. (M) /// Gets the mean. (M)
/// </summary> /// </summary>
/// <value>The mean of the distribution.</value> /// <value>The mean of the distribution.</value>
public Matrix<double> Mean public Matrix<double> Mean
@ -162,7 +162,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the row covariance. (V) /// Gets the row covariance. (V)
/// </summary> /// </summary>
/// <value>The row covariance.</value> /// <value>The row covariance.</value>
public Matrix<double> RowCovariance public Matrix<double> RowCovariance
@ -171,7 +171,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the column covariance. (K) /// Gets the column covariance. (K)
/// </summary> /// </summary>
/// <value>The column covariance.</value> /// <value>The column covariance.</value>
public Matrix<double> ColumnCovariance public Matrix<double> ColumnCovariance

4
src/Numerics/Distributions/Multinomial.cs

@ -176,7 +176,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the proportion of ratios. /// Gets the proportion of ratios.
/// </summary> /// </summary>
public double[] P public double[] P
{ {
@ -184,7 +184,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the number of trials. /// Gets the number of trials.
/// </summary> /// </summary>
public int N public int N
{ {

4
src/Numerics/Distributions/NegativeBinomial.cs

@ -106,7 +106,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the number of trials. Range: r ≥ 0. /// Gets the number of trials. Range: r ≥ 0.
/// </summary> /// </summary>
public double R public double R
{ {
@ -114,7 +114,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the probability of success. Range: 0 ≤ p ≤ 1. /// Gets the probability of success. Range: 0 ≤ p ≤ 1.
/// </summary> /// </summary>
public double P public double P
{ {

10
src/Numerics/Distributions/Normal.cs

@ -175,7 +175,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the mean (μ) of the normal distribution. /// Gets the mean (μ) of the normal distribution.
/// </summary> /// </summary>
public double Mean public double Mean
{ {
@ -183,7 +183,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double StdDev public double StdDev
{ {
@ -191,7 +191,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the variance of the normal distribution. /// Gets the variance of the normal distribution.
/// </summary> /// </summary>
public double Variance public double Variance
{ {
@ -199,7 +199,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the precision of the normal distribution. /// Gets the precision of the normal distribution.
/// </summary> /// </summary>
public double Precision public double Precision
{ {
@ -207,7 +207,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public System.Random RandomSource public System.Random RandomSource
{ {

8
src/Numerics/Distributions/NormalGamma.cs

@ -169,7 +169,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the location of the mean. /// Gets the location of the mean.
/// </summary> /// </summary>
public double MeanLocation public double MeanLocation
{ {
@ -177,7 +177,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the scale of the mean. /// Gets the scale of the mean.
/// </summary> /// </summary>
public double MeanScale public double MeanScale
{ {
@ -185,7 +185,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the shape of the precision. /// Gets the shape of the precision.
/// </summary> /// </summary>
public double PrecisionShape public double PrecisionShape
{ {
@ -193,7 +193,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the inverse scale of the precision. /// Gets the inverse scale of the precision.
/// </summary> /// </summary>
public double PrecisionInverseScale public double PrecisionInverseScale
{ {

4
src/Numerics/Distributions/Pareto.cs

@ -108,7 +108,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the scale (xm) of the distribution. Range: xm > 0. /// Gets the scale (xm) of the distribution. Range: xm > 0.
/// </summary> /// </summary>
public double Scale public double Scale
{ {
@ -116,7 +116,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the shape (α) of the distribution. Range: α > 0. /// Gets the shape (α) of the distribution. Range: α > 0.
/// </summary> /// </summary>
public double Shape public double Shape
{ {

4
src/Numerics/Distributions/Poisson.cs

@ -103,7 +103,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the Poisson distribution parameter λ. Range: λ > 0. /// Gets the Poisson distribution parameter λ. Range: λ > 0.
/// </summary> /// </summary>
public double Lambda public double Lambda
{ {
@ -111,7 +111,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public System.Random RandomSource public System.Random RandomSource
{ {

2
src/Numerics/Distributions/Rayleigh.cs

@ -103,7 +103,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the scale (σ) of the distribution. Range: σ > 0. /// Gets the scale (σ) of the distribution. Range: σ > 0.
/// </summary> /// </summary>
public double Scale public double Scale
{ {

8
src/Numerics/Distributions/Stable.cs

@ -117,7 +117,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double Alpha public double Alpha
{ {
@ -125,7 +125,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double Beta public double Beta
{ {
@ -133,7 +133,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the scale (c) of the distribution. Range: c > 0. /// Gets the scale (c) of the distribution. Range: c > 0.
/// </summary> /// </summary>
public double Scale public double Scale
{ {
@ -141,7 +141,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the location (μ) of the distribution. /// Gets the location (μ) of the distribution.
/// </summary> /// </summary>
public double Location public double Location
{ {

6
src/Numerics/Distributions/StudentT.cs

@ -139,7 +139,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the location (μ) of the Student t-distribution. /// Gets the location (μ) of the Student t-distribution.
/// </summary> /// </summary>
public double Location public double Location
{ {
@ -147,7 +147,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double Scale public double Scale
{ {
@ -155,7 +155,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double DegreesOfFreedom public double DegreesOfFreedom
{ {

4
src/Numerics/Distributions/Triangular.cs

@ -115,7 +115,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the lower bound of the distribution. /// Gets the lower bound of the distribution.
/// </summary> /// </summary>
public double LowerBound public double LowerBound
{ {
@ -123,7 +123,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <summary>
/// Gets or sets the upper bound of the distribution. /// Gets the upper bound of the distribution.
/// </summary> /// </summary>
public double UpperBound public double UpperBound
{ {

4
src/Numerics/Distributions/Weibull.cs

@ -118,7 +118,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double Shape public double Shape
{ {
@ -126,7 +126,7 @@ namespace MathNet.Numerics.Distributions
} }
/// <summary> /// <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> /// </summary>
public double Scale public double Scale
{ {

2
src/Numerics/Statistics/ArrayStatistics.cs

@ -94,7 +94,7 @@ namespace MathNet.Numerics.Statistics
} }
/// <summary> /// <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. /// Returns NaN if data is empty or any entry is NaN.
/// </summary> /// </summary>
/// <param name="data">Sample array, no sorting is assumed.</param> /// <param name="data">Sample array, no sorting is assumed.</param>

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