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Тест Данна (Dunn's Multiple Comparison Test)×Тест Фридмана×
ОбластьСтатистикаСтатистика
СемействоHypothesis testHypothesis test
Год появления19641937
Автор методаOlive Jean DunnMilton Friedman
ТипNonparametric pairwise comparisonNonparametric repeated-measures comparison (by ranks)
Основополагающий источникDunn, O.J. (1964). Multiple Comparisons Using Rank Sums. Technometrics, 6(3), 241–252. DOI ↗Friedman, M. (1937). The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association, 32(200), 675–701. DOI ↗
Другие названияDunn's post-hoc test, Kruskal-Wallis post-hoc, Dunn Testi — Kruskal-Wallis Post-HocFriedman two-way analysis of variance by ranks, Friedman rank test, Friedman Testi
Связанные52
СводкаDunn's test is a nonparametric post-hoc procedure introduced by Olive Jean Dunn in 1964 to identify which specific pairs of groups differ significantly after a Kruskal-Wallis test has returned a significant overall result. It compares groups pairwise using rank sums and applies a multiple-comparison correction — most commonly Bonferroni or Holm — to control the family-wise error rate.The Friedman test is a nonparametric hypothesis test that compares three or more related conditions measured on the same blocks or subjects, serving as the rank-based alternative to repeated-measures ANOVA. It was introduced by Milton Friedman in 1937 and works on ordinal or continuous data without assuming normality.
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ScholarGateСравнение методов: Dunn Test · Friedman test. Получено 2026-06-19 из https://scholargate.app/ru/compare