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| Test permutacyjny (randomizacyjny)× | Estymacja bootstrapowa× | |
|---|---|---|
| Dziedzina | Statystyka | Statystyka |
| Rodzina | Regression model | Regression model |
| Rok powstania≠ | 2005 | 1979 |
| Twórca≠ | Good (2005); Edgington & Onghena (2007); resampling tradition | Bradley Efron |
| Typ≠ | Nonparametric resampling test | Resampling-based inference |
| Źródło pierwotne≠ | Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792 | Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗ |
| Inne nazwy | randomization test, exact permutation test, re-randomization test, Permütasyon Testi | bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı |
| Pokrewne | 5 | 5 |
| Podsumowanie≠ | 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. | Bootstrap inference, introduced by Bradley Efron in 1979, estimates the sampling distribution of a statistic by repeatedly resampling the observed data with replacement. It requires no distributional assumption and produces reliable confidence intervals even in small samples. |
| ScholarGateZbiór danych ↗ |
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