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Teste de Comparações Múltiplas de Dunn×Teste H de Kruskal-Wallis×
ÁreaEstatísticaEstatística
FamíliaHypothesis testHypothesis test
Ano de origem19641952
Autor originalOlive Jean DunnWilliam Kruskal & W. Allen Wallis
TipoNonparametric pairwise comparisonNonparametric group comparison
Fonte seminalDunn, O.J. (1964). Multiple Comparisons Using Rank Sums. Technometrics, 6(3), 241–252. DOI ↗Kruskal, 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 ↗
Outros nomesDunn's post-hoc test, Kruskal-Wallis post-hoc, Dunn Testi — Kruskal-Wallis Post-HocKruskal-Wallis H test, one-way ANOVA on ranks, Kruskal-Wallis one-way analysis of variance, Kruskal-Wallis Testi
Relacionados55
ResumoDunn'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 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.
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ScholarGateComparar métodos: Dunn Test · Kruskal-Wallis test. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare