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Test H de Kruskal-Wallis×Analyse de variance à un facteur×Test t de Welch (variances inégales)×
DomaineStatistiqueStatistiqueStatistique
FamilleHypothesis testHypothesis testHypothesis test
Année d'origine195219251947
Auteur d'origineWilliam Kruskal & W. Allen WallisRonald A. FisherB. L. Welch
TypeNonparametric group comparisonParametric mean comparisonParametric mean comparison (unequal variances)
Source fondatriceKruskal, 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 ↗Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗Welch, B. L. (1947). The generalization of Student's problem when several different population variances are involved. Biometrika, 34(1/2), 28–35. DOI ↗
AliasKruskal-Wallis H test, one-way ANOVA on ranks, Kruskal-Wallis one-way analysis of variance, Kruskal-Wallis Testione-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVAunequal variances t-test, Welch-Satterthwaite t-test, Welch t-Testi (Eşit Olmayan Varyans)
Apparentées544
RésuméThe 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.One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.Welch's t-test is a parametric hypothesis test that compares the means of two independent groups without assuming their variances are equal. It was introduced by B. L. Welch in 1947 as a more robust generalization of Student's two-sample test for situations where the two groups have different spread.
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ScholarGateComparer des méthodes: Kruskal-Wallis test · One-way ANOVA · Welch t-test. Consulté le 2026-06-20 sur https://scholargate.app/fr/compare