Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Test des moyennes tronquées (Test de Yuen)× | Test U de Mann-Whitney× | |
|---|---|---|
| Domaine | Statistique | Statistique |
| Famille≠ | Regression model | Hypothesis test |
| Année d'origine≠ | 1974 | 1947 |
| Auteur d'origine≠ | Karen K. Yuen | H. B. Mann & D. R. Whitney |
| Type≠ | Robust two-group comparison | Nonparametric two-group comparison |
| Source fondatrice≠ | Yuen, K. K. (1974). The Two-Sample Trimmed t for Unequal Population Variances. Biometrika, 61(1), 165-170. DOI ↗ | Mann, H. B. & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50–60. DOI ↗ |
| Alias≠ | Yuen's test, Yuen-Welch test, robust mean comparison, kırpılmış ortalama testi | Mann-Whitney-Wilcoxon test, Wilcoxon rank-sum test, Mann-Whitney U Testi |
| Apparentées | 4 | 4 |
| 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 Mann-Whitney U test is the nonparametric alternative to the independent samples t-test, comparing two independent groups by ranking all observations together rather than relying on their means. It was introduced by H. B. Mann and D. R. Whitney in 1947 and does not require the data to be normally distributed. |
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