เปรียบเทียบวิธี

	การทดสอบภายหลัง (Post-Hoc Test) แบบ Conover-Iman	การทดสอบของฟรีดแมน	การทดสอบ Nemenyi Post-Hoc สำหรับ Friedman
สาขาวิชา	สถิติศาสตร์	สถิติศาสตร์	สถิติศาสตร์
ตระกูล	Regression model	Hypothesis test	Hypothesis test
ปีกำเนิด	1979	1937	1963
ผู้ริเริ่ม	Conover & Iman	Milton Friedman	Peter Nemenyi
ประเภท	Nonparametric post-hoc multiple comparison	Nonparametric repeated-measures comparison (by ranks)	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.	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.	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	Friedman two-way analysis of variance by ranks, Friedman rank test, Friedman Testi	Nemenyi Testi — Friedman Post-Hoc, Nemenyi multiple comparison test, Nemenyi procedure
ที่เกี่ยวข้อง	3	2	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.	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.	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.