Comparer des méthodes

	Test t robuste à un échantillon (moyenne tronquée)	Test t robuste pour échantillons indépendants
Domaine	Statistique	Statistique
Famille	Hypothesis test	Hypothesis test
Année d'origine	1970s–2000s	1974–1990s
Auteur d'origine	Rand R. Wilcox (extending Yuen's trimmed-mean approach)	Rand R. Wilcox; Karen K. Yuen (trimmed-mean form)
Type	Robust parametric mean 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	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
Alias	one-sample trimmed mean test, Yuen one-sample test, robust one-sample location test, trimmed mean t-test	Yuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test
Apparentées	4	2
Résumé	The robust one-sample t-test replaces the ordinary mean with a trimmed mean and the sample variance with a Winsorized variance to compare a population location against a hypothesized value. It retains the t-test decision framework while sharply reducing sensitivity to outliers and heavy-tailed distributions, making it reliable in real-world continuous data that deviate from normality.	The robust independent samples t-test compares the central tendency of two independent groups using trimmed means and Winsorized variances, making it substantially less sensitive to outliers and non-normality than the classical Student or Welch t-test. The most widely used form is Yuen's test, which also accommodates unequal variances across groups.