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Prueba H de Kruskal-Wallis×Prueba de Comparaciones Múltiples de Dunn×
CampoEstadísticaEstadística
FamiliaHypothesis testHypothesis test
Año de origen19521964
Autor originalWilliam Kruskal & W. Allen WallisOlive Jean Dunn
TipoNonparametric group comparisonNonparametric pairwise comparison
Fuente seminalKruskal, 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 ↗Dunn, O.J. (1964). Multiple Comparisons Using Rank Sums. Technometrics, 6(3), 241–252. DOI ↗
AliasKruskal-Wallis H test, one-way ANOVA on ranks, Kruskal-Wallis one-way analysis of variance, Kruskal-Wallis TestiDunn's post-hoc test, Kruskal-Wallis post-hoc, Dunn Testi — Kruskal-Wallis Post-Hoc
Relacionados55
ResumenThe 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.Dunn'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.
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ScholarGateComparar métodos: Kruskal-Wallis test · Dunn Test. Recuperado el 2026-06-18 de https://scholargate.app/es/compare