Package dev.nm.stat.test.distribution.kolmogorov

Class Summary

Class	Description
KolmogorovDistribution	The Kolmogorov distribution is the distribution of the Kolmogorov-Smirnov statistic.
KolmogorovOneSidedDistribution	Compute the probability that F(x) is dominated by the upper confidence contour, for all x: \[ Pn(\epsilon ) = Pr\{F(x) \lt \min\{Fn(x) + \epsilon , 1\}\} \]
KolmogorovSmirnov	The Kolmogorov-Smirnov test (KS test) compares a sample with a reference probability distribution (one-sample KS test), or to compare two samples (two-sample KS test).
KolmogorovSmirnov1Sample	The one-sample Kolmogorov-Smirnov test (one-sample KS test) compares a sample with a reference probability distribution.
KolmogorovSmirnov2Samples	The two-sample Kolmogorov-Smirnov test (two-sample KS test) tests for the equality of the distributions of two samples.
KolmogorovTwoSamplesDistribution	Compute the p-values for the generalized (conditionally distribution-free) Smirnov homogeneity test.

Enum Summary

Enum	Description
KolmogorovSmirnov.Side	the available types of the Kolmogorov-Smirnov statistic
KolmogorovSmirnov.Type	the available types of the Kolmogorov-Smirnov tests
KolmogorovTwoSamplesDistribution.Side	the available types of Kolmogorov-Smirnov two-sample test