Comparer des méthodes

	Test de rangs signés de Wilcoxon robuste	Test t pour échantillons appariés
Domaine	Statistique	Statistique
Famille	Hypothesis test	Hypothesis test
Année d'origine	1945 (original); robust extensions 1990s–2000s	1908
Auteur d'origine	Frank Wilcoxon (original); Rand R. Wilcox (robust extensions)	Student (W. S. Gosset)
Type	Robust nonparametric paired difference test	Parametric mean comparison
Source fondatrice	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.
Alias	robust signed-rank test, robust nonparametric paired test, outlier-resistant Wilcoxon test, robust WSR test	dependent t-test, matched pairs t-test, repeated measures t-test, within-subjects t-test
Apparentées	5	3
Résumé	The robust Wilcoxon signed-rank test extends the classical Wilcoxon signed-rank test by incorporating outlier-resistant location measures or robust preprocessing steps, improving inference on paired data when extreme observations or heavy-tailed distributions threaten validity of standard rank-based conclusions.	The paired samples t-test is a parametric hypothesis test that compares the means of two related measurements from the same subjects or matched pairs to determine whether the average difference is significantly different from zero. It leverages the dependency between observations to produce a more powerful test than its independent-samples counterpart.