Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Test Van der Waerdenových normálních skórů× | Jednofaktorová analýza rozptylu× | |
|---|---|---|
| Obor | Statistika | Statistika |
| Rodina | Hypothesis test | Hypothesis test |
| Rok vzniku≠ | 1952 | 1925 |
| Tvůrce≠ | Bartel Leendert van der Waerden | Ronald A. Fisher |
| Typ≠ | Nonparametric k-sample comparison via normal scores | Parametric mean comparison |
| Původní zdroj≠ | van der Waerden, B.L. (1952). Order Tests for the Two-Sample Problem and Their Power. Indagationes Mathematicae, 14, 453–458. link ↗ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ |
| Další názvy≠ | normal scores test, Van der Waerden k-sample test, Van der Waerden Testi — Normal Skor | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA |
| Příbuzné≠ | 6 | 4 |
| Shrnutí≠ | The Van der Waerden test is a nonparametric k-sample hypothesis test that converts observations into normal scores — the quantiles of a standard normal distribution — before comparing groups. Introduced by Bartel Leendert van der Waerden in 1952, it can achieve higher statistical power than the Kruskal-Wallis test when the underlying distributions are symmetric, making it a compelling bridge between rank-based and parametric methods. | One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925. |
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