Comparer des méthodes

	Test des moyennes tronquées (Test de Yuen)	Test par permutation (ou randomisation)
Domaine	Statistique	Statistique
Famille	Regression model	Regression model
Année d'origine	1974	2005
Auteur d'origine	Karen K. Yuen	Good (2005); Edgington & Onghena (2007); resampling tradition
Type	Robust two-group comparison	Nonparametric resampling test
Source fondatrice	Yuen, K. K. (1974). The Two-Sample Trimmed t for Unequal Population Variances. Biometrika, 61(1), 165-170.	Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
Alias	Yuen's test, Yuen-Welch test, robust mean comparison, kırpılmış ortalama testi	randomization test, exact permutation test, re-randomization test, Permütasyon Testi
Apparentées	4	5
Résumé	The trimmed mean test compares two groups using trimmed means, which discard a fixed proportion of the most extreme observations in each tail before averaging. Introduced by Karen K. Yuen in 1974, it is a robust alternative to the classical t-test when the data are non-normal or contain outliers and the population variances are unequal.	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.