Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Test de Kolmogorov-Smirnov à deux échantillons× | Test U de Mann-Whitney× | |
|---|---|---|
| Domaine | Statistique | Statistique |
| Famille≠ | Regression model | Hypothesis test |
| Année d'origine≠ | 1948 | 1947 |
| Auteur d'origine≠ | N. V. Smirnov | H. B. Mann & D. R. Whitney |
| Type≠ | Nonparametric two-sample distribution test | Nonparametric two-group comparison |
| Source fondatrice≠ | Smirnov, N. V. (1948). Table for Estimating the Goodness of Fit of Empirical Distributions. Annals of Mathematical Statistics, 19(2), 279-281. 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 | KS two-sample test, two-sample KS test, İki Örneklem Kolmogorov-Smirnov Testi | Mann-Whitney-Wilcoxon test, Wilcoxon rank-sum test, Mann-Whitney U Testi |
| Apparentées≠ | 3 | 4 |
| Résumé≠ | The two-sample Kolmogorov-Smirnov test is a nonparametric procedure that asks whether two independent groups are drawn from the same continuous distribution. Building on Smirnov's 1948 tables, it compares the empirical cumulative distribution functions (CDFs) of the two samples and uses their maximum absolute distance as the test statistic. | 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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