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H-критерий Крускала-Уоллиса×Многомерный дисперсионный анализ с ковариатами (MANCOVA)×Однофакторный дисперсионный анализ×
ОбластьСтатистикаСтатистикаСтатистика
СемействоHypothesis testHypothesis testHypothesis test
Год появления195219701925
Автор методаWilliam Kruskal & W. Allen WallisExtension of MANOVA and ANCOVA traditions; consolidated in multivariate textbooks by the 1970s–1980sRonald A. Fisher
ТипNonparametric group comparisonParametric multivariate mean comparison with covariate controlParametric mean comparison
Основополагающий источникKruskal, 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 ↗Tabachnick, B. G. & Fidell, L. S. (2019). Using Multivariate Statistics (7th ed.). Pearson. ISBN: 978-0134790541Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
Другие названияKruskal-Wallis H test, one-way ANOVA on ranks, Kruskal-Wallis one-way analysis of variance, Kruskal-Wallis TestiMANCOVA, multivariate ANCOVA, MANOVA with covariates, MANCOVA — Çok Değişkenli Kovaryans Analizione-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Связанные554
СводкаThe 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.MANCOVA (Multivariate Analysis of Covariance) is a parametric hypothesis test that simultaneously compares two or more groups on multiple continuous dependent variables while statistically controlling for one or more covariates. It extends MANOVA by incorporating covariate adjustment, a tradition consolidated in multivariate statistical methodology by the 1970s and authoritatively documented by Tabachnick and Fidell (2019).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.
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ScholarGateСравнение методов: Kruskal-Wallis test · MANCOVA · One-way ANOVA. Получено 2026-06-20 из https://scholargate.app/ru/compare