|
| Name | Description |
|---|
  | AndersonDarlingTest |
Returns an Anderson-Darling test whether a sample was drawn from the normal distribution.
|
| CramerVonMisesTest(VectorDouble, ContinuousDistribution) |
Returns a Cramer-von Mises test that the specified values were drawn from
the specified distribution.
|
| CramerVonMisesTest(VectorDouble, FuncDouble, Double) |
Returns a Cramer-von Mises test that the specified values were drawn from
a distribution with the specified distribution function.
|
| FTest(VectorDouble, VectorDouble, HypothesisType) |
Returns an F test for the ratio of the variances of two populations.
|
| FTest(Double, Double, Double, Double, HypothesisType) |
Returns an F test for the ratio of two variances.
|
| GoodnessOfFitTest(HistogramDouble, ContinuousDistribution, Int32) | |
| GoodnessOfFitTest(HistogramInt32, DiscreteDistribution, Int32) | |
| GoodnessOfFitTestT(HistogramT, HistogramT) | Returns a ChiSquareGoodnessOfFitTest object to test if the
distribution follows the specified distribution specified as a histogram. |
| KolmogorovSmirnovTest(VectorDouble, VectorDouble) |
Returns a Kolmogorov-Smirnov test whether two samples were drawn from the same distribution.
|
| KolmogorovSmirnovTest(VectorDouble, ContinuousDistribution) |
Returns a Kolmogorov-Smirnov test whether a sample was drawn from the specified distribution.
|
| KolmogorovSmirnovTest(VectorDouble, FuncDouble, Double) |
Returns a Kolmogorov-Smirnov test whether a sample was drawn from the specified distribution.
|
| McNemarTest(ICategoricalVector, ICategoricalVector, Boolean) |
Returns a McNemar test whether proportions are the same in two samples.
|
| McNemarTestT(IListT, IListT, Boolean) |
Returns a McNemar test whether proportions are the same in two samples.
|
| PairedTTest |
Returns a paired TwoSampleTTest for the difference between two population means.
|
| ShapiroWilkTest |
Returns a Shapiro-Wilk test whether a sample was drawn from the normal distribution.
|
| StuartMaxwellTest | |
| TTest(VectorDouble, Double, HypothesisType) | |
| TTest(Double, Double, Int32, Double, HypothesisType) |
Returns a OneSampleTTest for the mean of a population
based on properties of a sample from the population.
|
| TwoSampleZTest | |
| UnpairedTTest |
Returns an unpaired TwoSampleTTest for the difference between two population means.
|
| ZTest(VectorDouble, Double, Double, HypothesisType) |
Returns a Z test for the mean of a population with known variance.
|
| ZTest(Int32, Double, Double, Double, HypothesisType) |
Returns a Z test for the mean of a population with known variance.
|
| ZTest(Int32, Double, Int32, Double, Double, HypothesisType) | |