Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| U-критерій Манна-Вітні× | Тест з перестановки (рандомізації)× | |
|---|---|---|
| Галузь | Статистика | Статистика |
| Родина≠ | Hypothesis test | Regression model |
| Рік появи≠ | 1947 | 2005 |
| Автор методу≠ | H. B. Mann & D. R. Whitney | Good (2005); Edgington & Onghena (2007); resampling tradition |
| Тип≠ | Nonparametric two-group comparison | Nonparametric resampling test |
| Основоположне джерело≠ | 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 |
| Інші назви≠ | Mann-Whitney-Wilcoxon test, Wilcoxon rank-sum test, Mann-Whitney U Testi | randomization test, exact permutation test, re-randomization test, Permütasyon Testi |
| Пов'язані≠ | 4 | 5 |
| Підсумок≠ | 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. |
| ScholarGateНабір даних ↗ |
|
|