Hypothesis Tests Class
Contains static methods to create hypothesis tests.
Definition
Namespace: Numerics.NET.Statistics
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.0.2
C#
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.0.2
public static class HypothesisTests
- Inheritance
- Object → HypothesisTests
Methods
Anderson | Returns an Anderson-Darling test whether a sample was drawn from the normal distribution. |
Cramer | Returns a Cramer-von Mises test that the specified values were drawn from the specified distribution. |
Cramer | Returns a Cramer-von Mises test that the specified values were drawn from a distribution with the specified distribution function. |
FTest( | Returns an F test for the ratio of the variances of two populations. |
FTest( | Returns an F test for the ratio of two variances. |
Goodness | Returns a ChiSquareGoodnessOfFitTest object to test if the distribution follows the specified distribution. |
Goodness | Returns a ChiSquareGoodnessOfFitTest object to test if the distribution follows the specified distribution. |
Goodness | Returns a ChiSquareGoodnessOfFitTest object to test if the distribution follows the specified distribution specified as a histogram. |
Kolmogorov | Returns a Kolmogorov-Smirnov test whether a sample was drawn from the specified distribution. |
Kolmogorov | Returns a Kolmogorov-Smirnov test whether two samples were drawn from the same distribution. |
Kolmogorov | Returns a Kolmogorov-Smirnov test whether a sample was drawn from the specified distribution. |
McNemar | Returns a McNemar test whether proportions are the same in two samples. |
McNemar | Returns a McNemar test whether proportions are the same in two samples. |
Paired | Returns a paired TwoSampleTTest for the difference between two population means. |
Shapiro | Returns a Shapiro-Wilk test whether a sample was drawn from the normal distribution. |
Stuart | Constructs a new StuartMaxwellTest. |
TTest( | Returns a new OneSampleTTest for the mean of a population. |
TTest( | Returns a OneSampleTTest for the mean of a population based on properties of a sample from the population. |
Two | Constructs a new TwoSampleZTest(ICategoricalVector, ICategoricalVector, Double, HypothesisType) for the specified samples. |
Unpaired | Returns an unpaired TwoSampleTTest for the difference between two population means. |
ZTest( | Returns a Z test for the mean of a population with known variance. |
ZTest( | Returns a Z test for the mean of a population with known variance. |
ZTest( | Constructs a new TwoSampleZTest(ICategoricalVector, ICategoricalVector, Double, HypothesisType) for the difference between two proportions. |