Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Тест Вальда-Вольфовіца на кількість серій (runs test)× | U-критерій Манна-Вітні× | |
|---|---|---|
| Галузь | Статистика | Статистика |
| Родина | Hypothesis test | Hypothesis test |
| Рік появи≠ | 1940 | 1947 |
| Автор методу≠ | Abraham Wald & Jacob Wolfowitz | H. B. Mann & D. R. Whitney |
| Тип≠ | Nonparametric randomness test | Nonparametric two-group comparison |
| Основоположне джерело≠ | Wald, A. & Wolfowitz, J. (1940). On a test whether two samples are from the same population. Annals of Mathematical Statistics, 11(2), 147–162. 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 ↗ |
| Інші назви | Wald-Wolfowitz test, runs test for randomness, Runs Testi (Wald-Wolfowitz) | Mann-Whitney-Wilcoxon test, Wilcoxon rank-sum test, Mann-Whitney U Testi |
| Пов'язані≠ | 5 | 4 |
| Підсумок≠ | The Wald-Wolfowitz runs test is a nonparametric hypothesis test that determines whether a sequence of observations — coded as a series of binary symbols — follows a random pattern or contains systematic structure. Introduced by Abraham Wald and Jacob Wolfowitz in 1940, the test counts the number of uninterrupted runs of identical symbols and asks whether that count is consistent with random arrangement. | 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. |
| ScholarGateНабір даних ↗ |
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