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Extreme.Statistics.Tests Namespace

Extreme Optimization Numerical Libraries for .NET Professional

The Extreme.Statistics.Tests namespace contains classes that represent hypothesis tests.

Classes

	Class	Description
	AndersonDarlingDistribution	Represents the distribution of the Anderson-Darling statistic A².
	AndersonDarlingTest	Represents an Anderson-Darling test that a sample is normally distributed.
	AnovaPostHocTest	Represents a post hoc test for equality of group means of a one-way Analysis of Variance (ANOVA).
	BartlettTest	Represents Bartlett's test that a set of samples have the same variance.
	ChiSquareGoodnessOfFitTest	Represents a test that a sample comes from a specified distribution.
	FTest	Represents a test that the ratio between the population variances of two samples is equal to a specific value.
	GeneralizedEsdTest	Represents a Generalized Extreme Studentized Deviate (ESD) test for multiple outliers in a sample.
	GrubbsTest	Represents a Grubbs test for detecting a single outlier.
	HypothesisTest	Serves as an abstract base class for classes that represent a hypothesis test.
	KruskalWallisTest	Represents the Kruskal-Wallis test.
	LeveneTest	Represents Levene's test that a set of samples have the same variance.
	LjungBoxTest	Represents the Ljung-Box test that a sample is not auto-correlated.
	MannWhitneyTest	Represents a non-parametric test that two samples are from the same distribution.
	MannWhitneyTestT	Represents a non-parametric test that two samples are from the same distribution.
	McNemarTest	Represents a McNemar test on paired proportions.
	MultiSampleTest	Represents a HypothesisTest based on two or more samples.
	MultiSampleTestT	Represents a HypothesisTest based on two or more samples.
	OneSampleChiSquareTest	Represents a test that the population variance of a VectorT is equal to a specific value.
	OneSampleKolmogorovSmirnovTest	Represents a test that a sample comes from a specified distribution.
	OneSampleTest	Represents a HypothesisTest based on a single sample.
	OneSampleTestT
	OneSampleTTest	Represents a test that the population mean of a VectorT is equal to a specific value.
	OneSampleZTest	Represents a test that the population population mean of a VectorT is equal to a specific value when the population variance is known.
	OneSampleZTestOfProportion	Represents a test that a proportion in a population equals a specific proportion.
	RunsTest	Represents the runs test of randomness.
	RunsTestT	Represents the runs test of randomness.
	ShapiroWilkTest	Represents the Shapiro-Wilk test that a sample is normally distributed.
	SimpleHypothesisTest	Represents a hypothesis test that verifies a statistic with known distribution.
	StuartMaxwellTest	Represents a Stuart-Maxwell test
	StudentizedRangeDistribution	Represents the studentized range distribution.
	TwoSampleKolmogorovSmirnovTest	Represents a test that two samples come from the same, unspecified distribution.
	TwoSampleTest	Represents a HypothesisTest based on two samples.
	TwoSampleTestT	Represents a HypothesisTest based on two samples.
	TwoSampleTTest	Represents a test that the difference between the population means of two samples is equal to a specific value.
	TwoSampleZTest	Represents a test that the difference between two proportions of independent samples is significant.

Enumerations

	Enumeration	Description
	Exactness	Enumerates the possible values that specify whether the calculations for a hypothesis test should be exact or use an approximation.
	HypothesisType	Enumerates the possible values for a hypothesis test.
	LeveneTestLocationMeasure	Enumerates the ways the central tendency of a sample is calculated in Levene's test.
	SamplePairing	Enumerates the possible ways to relate two samples in a two sample hypothesis test.
	VarianceAssumption	Enumerates the possible assumptions made about the variances in a multi-sample hypothesis test.

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