Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Крускала-Волліса H-критерій× | Тест Фрідмана× | |
|---|---|---|
| Галузь | Статистика | Статистика |
| Родина | Hypothesis test | Hypothesis test |
| Рік появи≠ | 1952 | 1937 |
| Автор методу≠ | William Kruskal & W. Allen Wallis | Milton Friedman |
| Тип≠ | Nonparametric group comparison | Nonparametric repeated-measures comparison (by ranks) |
| Основоположне джерело≠ | Kruskal, W. H. & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47(260), 583–621. DOI ↗ | Friedman, M. (1937). The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association, 32(200), 675–701. DOI ↗ |
| Інші назви≠ | Kruskal-Wallis H test, one-way ANOVA on ranks, Kruskal-Wallis one-way analysis of variance, Kruskal-Wallis Testi | Friedman two-way analysis of variance by ranks, Friedman rank test, Friedman Testi |
| Пов'язані≠ | 5 | 2 |
| Підсумок≠ | The Kruskal-Wallis H test is a nonparametric hypothesis test that compares three or more independent groups to decide whether their distributions (typically their medians) differ. Introduced by William Kruskal and W. Allen Wallis in 1952, it works on ranks rather than raw values and is the distribution-free counterpart to one-way ANOVA. | The Friedman test is a nonparametric hypothesis test that compares three or more related conditions measured on the same blocks or subjects, serving as the rank-based alternative to repeated-measures ANOVA. It was introduced by Milton Friedman in 1937 and works on ordinal or continuous data without assuming normality. |
| ScholarGateНабір даних ↗ |
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