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| Test post-hoc Conovera-Imana× | Test Friedmana× | Test post-hoc Nemenyi dla Friedmana× | |
|---|---|---|---|
| Dziedzina | Statystyka | Statystyka | Statystyka |
| Rodzina≠ | Regression model | Hypothesis test | Hypothesis test |
| Rok powstania≠ | 1979 | 1937 | 1963 |
| Twórca≠ | Conover & Iman | Milton Friedman | Peter Nemenyi |
| Typ≠ | Nonparametric post-hoc multiple comparison | Nonparametric repeated-measures comparison (by ranks) | Nonparametric post-hoc multiple comparison |
| Źródło pierwotne≠ | Conover, W. J. & Iman, R. L. (1979). On Multiple-Comparisons Procedures. Technical Report LA-7677-MS, Los Alamos Scientific Laboratory. link ↗ | 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 ↗ | Nemenyi, P. (1963). Distribution-Free Multiple Comparisons. PhD thesis, Princeton University. link ↗ |
| Inne nazwy | 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 |
| Pokrewne≠ | 3 | 2 | 5 |
| Podsumowanie≠ | 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. |
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