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