Comparer des méthodes

	Test post-hoc de Conover-Iman	Test de comparaisons multiples de Dunn	Test de Friedman	Test post-hoc de Nemenyi pour Friedman
Domaine	Statistique	Statistique	Statistique	Statistique
Famille	Regression model	Hypothesis test	Hypothesis test	Hypothesis test
Année d'origine	1979	1964	1937	1963
Auteur d'origine	Conover & Iman	Olive Jean Dunn	Milton Friedman	Peter Nemenyi
Type	Nonparametric post-hoc multiple comparison	Nonparametric pairwise comparison	Nonparametric repeated-measures comparison (by ranks)	Nonparametric post-hoc multiple comparison
Source fondatrice	Conover, W. J. & Iman, R. L. (1979). On Multiple-Comparisons Procedures. Technical Report LA-7677-MS, Los Alamos Scientific Laboratory.	Dunn, O.J. (1964). Multiple Comparisons Using Rank Sums. Technometrics, 6(3), 241–252.	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.	Nemenyi, P. (1963). Distribution-Free Multiple Comparisons. PhD thesis, Princeton University.
Alias	Conover-Iman post-hoc test, Conover post-hoc test, Conover-Iman Post-Hoc Testi	Dunn's post-hoc test, Kruskal-Wallis post-hoc, Dunn Testi — Kruskal-Wallis Post-Hoc	Friedman two-way analysis of variance by ranks, Friedman rank test, Friedman Testi	Nemenyi Testi — Friedman Post-Hoc, Nemenyi multiple comparison test, Nemenyi procedure
Apparentées	3	5	2	5
Résumé	The Conover-Iman test is a rank-based post-hoc procedure, introduced by Conover and Iman in 1979, that identifies which pairs of groups differ after a significant Kruskal-Wallis or Friedman test. It builds a t-style statistic on the pooled ranks and is generally more powerful than the comparable Dunn test.	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.	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.	The Nemenyi test is a nonparametric post-hoc multiple comparison procedure introduced by Peter Nemenyi in his 1963 Princeton doctoral thesis. It is applied after a significant Friedman test to identify which specific pairs of conditions differ from each other in a repeated-measures or blocked design.