So sánh phương pháp

	Kiểm định Conover-Iman Post-Hoc	Kiểm định đa so sánh của Dunn	Kiểm định Nemenyi hậu kiểm cho Friedman
Lĩnh vực	Thống kê	Thống kê	Thống kê
Họ	Regression model	Hypothesis test	Hypothesis test
Năm ra đời	1979	1964	1963
Người khởi xướng	Conover & Iman	Olive Jean Dunn	Peter Nemenyi
Loại	Nonparametric post-hoc multiple comparison	Nonparametric pairwise comparison	Nonparametric post-hoc multiple comparison
Công trình gốc	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.	Nemenyi, P. (1963). Distribution-Free Multiple Comparisons. PhD thesis, Princeton University.
Tên gọi khác	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	Nemenyi Testi — Friedman Post-Hoc, Nemenyi multiple comparison test, Nemenyi procedure
Liên quan	3	5	5
Tóm tắt	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.	The Nemenyi test is a nonparametric post-hoc multiple comparison procedure introduced by Peter Nemenyi in his 1963 Princeton doctoral thesis. It is applied after a significant Friedman test to identify which specific pairs of conditions differ from each other in a repeated-measures or blocked design.