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Introduction
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Expand Vector and Matrix Library User's GuideVector and Matrix Library User's Guide
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  • Home
  • Documentation
  • Reference
  • Extreme.Statistics.Tests Namespace
    • AndersonDarlingTest Class
    • BartlettTest Class
    • ChiSquareGoodnessOfFitTest Class
    • FTest Class
    • HypothesisTest Class
    • HypothesisType Enumeration
    • LeveneTest Class
    • LeveneTestLocationMeasure Enumeration
    • McNemarTest Class
    • MultiSampleTest Class
    • OneSampleChiSquareTest Class
    • OneSampleKolmogorovSmirnovTest Class
    • OneSampleTest Class
    • OneSampleTest(T) Class
    • OneSampleTTest Class
    • OneSampleZTest Class
    • RunsTest Class
    • SamplePairing Enumeration
    • ShapiroWilkTest Class
    • SimpleHypothesisTest Class
    • StuartMaxwellTest Class
    • TwoSampleKolmogorovSmirnovTest Class
    • TwoSampleTest Class
    • TwoSampleTest(TSample) Class
    • TwoSampleTTest Class
    • TwoSampleZTest Class
    • VarianceAssumption Enumeration
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Extreme.Statistics.Tests Namespace

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

Classes

  ClassDescription
Public classAndersonDarlingTest
Represents an Anderson-Darling test that a sample is normally distributed.
Public classBartlettTest
Represents Bartlett's test that a set of samples have the same variance.
Public classChiSquareGoodnessOfFitTest
Represents a test that a sample comes from a specified distribution.
Public classFTest
Represents a test that the ratio between the population variances of two samples is equal to a specific value.
Public classHypothesisTest
Serves as an abstract base class for classes that represent a hypothesis test.
Public classLeveneTest
Represents Levene's test that a set of samples have the same variance.
Public classMcNemarTest
Represents a McNemar test on paired proportions.
Public classMultiSampleTest
Represents a HypothesisTest based on two or more samples.
Public classOneSampleChiSquareTest
Represents a test that the population variance of a NumericalVariable is equal to a specific value.
Public classOneSampleKolmogorovSmirnovTest
Represents a test that a sample comes from a specified distribution.
Public classOneSampleTest
Represents a HypothesisTest based on a single sample.
Public classOneSampleTest<(Of <(T>)>)
Public classOneSampleTTest
Represents a test that the population mean of a NumericalVariable is equal to a specific value.
Public classOneSampleZTest
Represents a test that the population population mean of a NumericalVariable is equal to a specific value when the population variance is known.
Public classRunsTest
Represents the runs test of randomness.
Public classShapiroWilkTest
Represents the Shapiro-Wilk test that a sample is normally distributed.
Public classSimpleHypothesisTest
Represents a hypothesis test that verifies a statistic with known distribution.
Public classStuartMaxwellTest
Represents a Stuart-Maxwell test
Public classTwoSampleKolmogorovSmirnovTest
Represents a test that two samples come from the same, unspecified distribution.
Public classTwoSampleTest
Represents a HypothesisTest based on two samples.
Public classTwoSampleTest<(Of <(TSample>)>)
Represents a HypothesisTest based on two samples.
Public classTwoSampleTTest
Represents a test that the difference between the population means of two samples is equal to a specific value.
Public classTwoSampleZTest
Represents a test that the difference between two proportions of independent samples is significant.

Enumerations

  EnumerationDescription
Public enumerationHypothesisType
Enumerates the possible values for a hypothesis test.
Public enumerationLeveneTestLocationMeasure
Enumerates the ways the central tendency of a sample is calculated in Levene's test.
Public enumerationSamplePairing
Enumerates the possible ways to relate two samples in a two sample hypothesis test.
Public enumerationVarianceAssumption
Enumerates the possible assumptions made about the variances in a multi-sample hypothesis test.

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