Comparer des méthodes

	Test par permutation (ou randomisation)	Test des moyennes tronquées (Test de Yuen)
Domaine	Statistique	Statistique
Famille	Regression model	Regression model
Année d'origine	2005	1974
Auteur d'origine	Good (2005); Edgington & Onghena (2007); resampling tradition	Karen K. Yuen
Type	Nonparametric resampling test	Robust two-group comparison
Source fondatrice	Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792	Yuen, K. K. (1974). The Two-Sample Trimmed t for Unequal Population Variances. Biometrika, 61(1), 165-170.
Alias	randomization test, exact permutation test, re-randomization test, Permütasyon Testi	Yuen's test, Yuen-Welch test, robust mean comparison, kırpılmış ortalama testi
Apparentées	5	4
Résumé	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.	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.