Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Тест Данна (Dunn's Multiple Comparison Test)× | Тест Фридмана× | |
|---|---|---|
| Область | Статистика | Статистика |
| Семейство | Hypothesis test | Hypothesis test |
| Год появления≠ | 1964 | 1937 |
| Автор метода≠ | Olive Jean Dunn | Milton Friedman |
| Тип≠ | Nonparametric pairwise comparison | Nonparametric repeated-measures comparison (by ranks) |
| Основополагающий источник≠ | Dunn, O.J. (1964). Multiple Comparisons Using Rank Sums. Technometrics, 6(3), 241–252. 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 ↗ |
| Другие названия | Dunn's post-hoc test, Kruskal-Wallis post-hoc, Dunn Testi — Kruskal-Wallis Post-Hoc | Friedman two-way analysis of variance by ranks, Friedman rank test, Friedman Testi |
| Связанные≠ | 5 | 2 |
| Сводка≠ | Dunn's test is a nonparametric post-hoc procedure introduced by Olive Jean Dunn in 1964 to identify which specific pairs of groups differ significantly after a Kruskal-Wallis test has returned a significant overall result. It compares groups pairwise using rank sums and applies a multiple-comparison correction — most commonly Bonferroni or Holm — to control the family-wise error rate. | 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. |
| ScholarGateНабор данных ↗ |
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