Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Přesná inferenční statistika založená na randomizaci× | Permutační (randomizační) test× | |
|---|---|---|
| Obor | Statistika | Statistika |
| Rodina | Regression model | Regression model |
| Rok vzniku≠ | 1935 | 2005 |
| Tvůrce≠ | Ronald A. Fisher | Good (2005); Edgington & Onghena (2007); resampling tradition |
| Typ≠ | Exact permutation-based inference | Nonparametric resampling test |
| Původní zdroj≠ | Fisher, R. A. (1935). The Design of Experiments. Oliver & Boyd. link ↗ | Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792 |
| Další názvy | fisher randomization test, permutation inference, exact randomization test, randomizasyon çıkarımı (fisher exact randomization) | randomization test, exact permutation test, re-randomization test, Permütasyon Testi |
| Příbuzné | 5 | 5 |
| Shrnutí≠ | Randomization inference, introduced by Ronald A. Fisher in The Design of Experiments (1935), computes an exact p-value by evaluating a test statistic across all possible treatment assignments under Fisher's sharp null hypothesis. It is regarded as the gold standard for analysing designed experiments because its validity rests on the known assignment mechanism rather than on distributional assumptions. | The permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value. |
| ScholarGateDatová sada ↗ |
|
|