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Kruskal-Wallise H-test×Permutatsioonitest (randomiseerimistest)×
ValdkondStatistikaStatistika
PerekondHypothesis testRegression model
Tekkeaasta19522005
LoojaWilliam Kruskal & W. Allen WallisGood (2005); Edgington & Onghena (2007); resampling tradition
TüüpNonparametric group comparisonNonparametric resampling test
AlgallikasKruskal, W. H. & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47(260), 583–621. DOI ↗Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
RööpnimetusedKruskal-Wallis H test, one-way ANOVA on ranks, Kruskal-Wallis one-way analysis of variance, Kruskal-Wallis Testirandomization test, exact permutation test, re-randomization test, Permütasyon Testi
Seotud55
KokkuvõteThe Kruskal-Wallis H test is a nonparametric hypothesis test that compares three or more independent groups to decide whether their distributions (typically their medians) differ. Introduced by William Kruskal and W. Allen Wallis in 1952, it works on ranks rather than raw values and is the distribution-free counterpart to one-way ANOVA.The permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value.
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ScholarGateVõrdle meetodeid: Kruskal-Wallis test · Permutation Test. Loetud 2026-06-17 aadressilt https://scholargate.app/et/compare