เปรียบเทียบวิธี

	การทดสอบภายหลัง (Post-Hoc Test) แบบ Conover-Iman	การทดสอบเปรียบเทียบพหุคูณของ Dunn (Dunn's Multiple Comparison Test)	การทดสอบ Nemenyi Post-Hoc สำหรับ Friedman
สาขาวิชา	สถิติศาสตร์	สถิติศาสตร์	สถิติศาสตร์
ตระกูล	Regression model	Hypothesis test	Hypothesis test
ปีกำเนิด	1979	1964	1963
ผู้ริเริ่ม	Conover & Iman	Olive Jean Dunn	Peter Nemenyi
ประเภท	Nonparametric post-hoc multiple comparison	Nonparametric pairwise comparison	Nonparametric post-hoc multiple comparison
แหล่งต้นตำรับ	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.
ชื่อเรียกอื่น	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
ที่เกี่ยวข้อง	3	5	5
สรุป	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.