Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Inférence par bootstrap× | Estimation winsorisée× | |
|---|---|---|
| Domaine | Statistique | Statistique |
| Famille | Regression model | Regression model |
| Année d'origine≠ | 1979 | 1960 |
| Auteur d'origine≠ | Bradley Efron | Dixon (1960); robust estimation tradition (Wilcox) |
| Type≠ | Resampling-based inference | Robust location/scale estimator |
| Source fondatrice≠ | Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗ | Dixon, W. J. (1960). Simplified Estimation from Censored Normal Samples. Annals of Mathematical Statistics, 31(2), 385-391. DOI ↗ |
| Alias≠ | bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı | winsorization, winsorized mean, Winsorize Edilmiş Tahmin |
| Apparentées | 5 | 5 |
| Résumé≠ | 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. | 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. |
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