Exact and randomization distributions of Kolmogorov-Smirnov tests two or three samples

DOI10.1016/0167-9473(94)00040-PzbMath0875.62181MaRDI QIDQ672013

Dietrich Trenkler, Gunar Schröer

Publication date: 27 February 1997

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

zbMATH Keywords

Critical valuesEmpirical distribution functionk-sample testKolmogorov-Smirnov testsRandomization testSequential procedureTies

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Exact distribution theory in statistics (62E15)

Related Items (3)

Statistical tests for the comparison of two samples: The general alternative ⋮ Computing the cumulative distribution function of the Kolmogorov-Smirnov statistic. ⋮ The bias of linear rank tests when testing for stochastic order in ordered categorical data

Cites Work

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• The significance probability of the Smirnov two-sample test
• Concepts of nonparametric theory
• A Note on the Generation of Random Normal Deviates
• Small Sample Distributions for Multi-Sample Statistics of the Smirnov Type
• Several $k$-Sample Kolmogorov-Smirnov Tests
• The Distribution of the Maximum Deviation Between two Sample Cumulative Step Functions
• Some Distribution-Free Tests for the Difference Between two Empirical Cumulative Distribution Functions

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