قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| اختبار كولموجوروف-سميرنوف لعينتين× | اختبار مان-ويتني يو (Mann-Whitney U test)× | |
|---|---|---|
| المجال | الإحصاء | الإحصاء |
| العائلة≠ | Regression model | Hypothesis test |
| سنة النشأة≠ | 1948 | 1947 |
| صاحب الطريقة≠ | N. V. Smirnov | H. B. Mann & D. R. Whitney |
| النوع≠ | Nonparametric two-sample distribution test | Nonparametric two-group comparison |
| المصدر التأسيسي≠ | 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 ↗ |
| الأسماء البديلة | 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 |
| ذات صلة≠ | 3 | 4 |
| الملخص≠ | 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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