Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| U test Mann-Whitney× | Permutační (randomizační) test× | |
|---|---|---|
| Obor | Statistika | Statistika |
| Rodina≠ | Hypothesis test | Regression model |
| Rok vzniku≠ | 1947 | 2005 |
| Tvůrce≠ | H. B. Mann & D. R. Whitney | Good (2005); Edgington & Onghena (2007); resampling tradition |
| Typ≠ | Nonparametric two-group comparison | Nonparametric resampling test |
| Původní zdroj≠ | 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 ↗ | Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792 |
| Další názvy≠ | Mann-Whitney-Wilcoxon test, Wilcoxon rank-sum test, Mann-Whitney U Testi | randomization test, exact permutation test, re-randomization test, Permütasyon Testi |
| Příbuzné≠ | 4 | 5 |
| Shrnutí≠ | 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. | 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. |
| ScholarGateDatová sada ↗ |
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