Comparer des méthodes

	Test de Friedman robuste	Test t robuste pour échantillons appariés
Domaine	Statistique	Statistique
Famille	Hypothesis test	Hypothesis test
Année d'origine	1990s–2000s	1974
Auteur d'origine	Extension of Friedman (1937); robust variants developed by Wilcox and colleagues	K. K. Yuen; extended by Rand R. Wilcox
Type	Robust nonparametric repeated measures comparison	Robust parametric mean comparison
Source fondatrice	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838	Yuen, K. K. (1974). The two-sample trimmed t for unequal population variances. Biometrika, 61(1), 165–170.
Alias	robust rank-based repeated measures test, trimmed-mean Friedman test, Friedman test with robust estimation, Fried-type robust test	trimmed-mean paired t-test, Yuen paired t-test, robust dependent-samples t-test, trimmed paired comparison
Apparentées	6	3
Résumé	The robust Friedman test is a nonparametric procedure for comparing three or more related (within-subjects) conditions that replaces standard ranking or mean-based summaries with robust location estimates — typically trimmed means or Winsorized statistics — to reduce the influence of outliers and heavy-tailed distributions on the inference.	The robust paired samples t-test replaces arithmetic means with trimmed means and Winsorized variance to compare two related measurements while resisting the distorting influence of outliers and non-normal distributions, producing reliable inference where the classic paired t-test breaks down.