Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Test t robuste pour échantillons appariés× | Test t robuste pour échantillons indépendants× | |
|---|---|---|
| Domaine | Statistique | Statistique |
| Famille | Hypothesis test | Hypothesis test |
| Année d'origine≠ | 1974 | 1974–1990s |
| Auteur d'origine≠ | K. K. Yuen; extended by Rand R. Wilcox | Rand R. Wilcox; Karen K. Yuen (trimmed-mean form) |
| Type | Robust parametric mean comparison | Robust parametric mean comparison |
| Source fondatrice≠ | Yuen, K. K. (1974). The two-sample trimmed t for unequal population variances. Biometrika, 61(1), 165–170. DOI ↗ | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 |
| Alias | trimmed-mean paired t-test, Yuen paired t-test, robust dependent-samples t-test, trimmed paired comparison | Yuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test |
| Apparentées≠ | 3 | 2 |
| Résumé≠ | The robust paired samples t-test replaces arithmetic means with trimmed means and Winsorized variance to compare two related measurements while resisting the distorting influence of outliers and non-normal distributions, producing reliable inference where the classic paired t-test breaks down. | 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. |
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