Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Test par permutation (ou randomisation)× | Estimation winsorisée× | |
|---|---|---|
| Domaine | Statistique | Statistique |
| Famille | Regression model | Regression model |
| Année d'origine≠ | 2005 | 1960 |
| Auteur d'origine≠ | Good (2005); Edgington & Onghena (2007); resampling tradition | Dixon (1960); robust estimation tradition (Wilcox) |
| Type≠ | Nonparametric resampling test | Robust location/scale estimator |
| Source fondatrice≠ | Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792 | Dixon, W. J. (1960). Simplified Estimation from Censored Normal Samples. Annals of Mathematical Statistics, 31(2), 385-391. DOI ↗ |
| Alias≠ | randomization test, exact permutation test, re-randomization test, Permütasyon Testi | winsorization, winsorized mean, Winsorize Edilmiş Tahmin |
| Apparentées | 5 | 5 |
| Résumé≠ | 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. | Winsorized estimation is a robust technique that reduces the influence of outliers by clamping the extreme percentiles of a distribution to a chosen threshold. Introduced by Dixon (1960) and developed in the robust-estimation tradition of Wilcox, it keeps every observation in the sample rather than discarding any. |
| ScholarGateJeu de données ↗ |
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