Comparer des méthodes

	ANOVA robuste (moyenne tronquée de Welch)	Test par permutation (ou randomisation)
Domaine	Statistique	Statistique
Famille	Regression model	Regression model
Année d'origine	1951	2005
Auteur d'origine	Welch (1951); robust trimmed-mean approach popularised by Wilcox	Good (2005); Edgington & Onghena (2007); resampling tradition
Type	Robust one-way analysis of variance	Nonparametric resampling test
Source fondatrice	Welch, B. L. (1951). On the comparison of several mean values: an alternative approach. Biometrika, 38(3/4), 330-336.	Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
Alias	Welch ANOVA, trimmed-mean ANOVA, heteroscedastic one-way ANOVA, Robust ANOVA (Welch & Trimmed Mean)	randomization test, exact permutation test, re-randomization test, Permütasyon Testi
Apparentées	5	5
Résumé	Robust ANOVA compares the central tendency of three or more groups when the classical assumptions of normality and equal variances fail. It combines Welch's heteroscedasticity-adjusted statistic, introduced by Welch in 1951, with trimmed-mean tests advanced by Wilcox, giving reliable comparisons in the presence of outliers and unequal group spreads.	The permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value.