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Extreme Optimization Statistics Library for .NET

Extreme.Statistics.Tests Namespace

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

Classes

ClassDescription
AndersonDarlingTest Represents a test that a sample is normally distributed.
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.
HypothesisTest Serves as an abstract base class for classes that represent a hypothesis test.
LeveneTest Represents Levene's test that a set of samples have the same variance.
MultiSampleTest Represents a HypothesisTest based on two or more samples.
OneSampleChiSquareTest Represents a test that the population variance of a NumericalVariable 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.
OneSampleTTest Represents a test that the population mean of a NumericalVariable is equal to a specific value.
OneSampleZTest Represents a test that the population population mean of a NumericalVariable is equal to a specific value when the population variance is known.
TwoSampleKolmogorovSmirnovTest Represents a test that two samples come from the same, unspecified distribution.
TwoSampleTest 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.

Enumerations

EnumerationDescription
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.