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