Сравнение методов

	Пост-хок тест Коновера-Имана	Тест Данна (Dunn's Multiple Comparison Test)
Область	Статистика	Статистика
Семейство	Regression model	Hypothesis test
Год появления	1979	1964
Автор метода	Conover & Iman	Olive Jean Dunn
Тип	Nonparametric post-hoc multiple comparison	Nonparametric pairwise comparison
Основополагающий источник	Conover, W. J. & Iman, R. L. (1979). On Multiple-Comparisons Procedures. Technical Report LA-7677-MS, Los Alamos Scientific Laboratory.	Dunn, O.J. (1964). Multiple Comparisons Using Rank Sums. Technometrics, 6(3), 241–252.
Другие названия	Conover-Iman post-hoc test, Conover post-hoc test, Conover-Iman Post-Hoc Testi	Dunn's post-hoc test, Kruskal-Wallis post-hoc, Dunn Testi — Kruskal-Wallis Post-Hoc
Связанные	3	5
Сводка	The Conover-Iman test is a rank-based post-hoc procedure, introduced by Conover and Iman in 1979, that identifies which pairs of groups differ after a significant Kruskal-Wallis or Friedman test. It builds a t-style statistic on the pooled ranks and is generally more powerful than the comparable Dunn test.	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.