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| ブートストラップ推論× | ウィンザ法（Winsorized Estimation）× | |
|---|---|---|
| 分野 | 統計学 | 統計学 |
| 系統 | Regression model | Regression model |
| 提唱年≠ | 1979 | 1960 |
| 提唱者≠ | Bradley Efron | Dixon (1960); robust estimation tradition (Wilcox) |
| 種類≠ | Resampling-based inference | Robust location/scale estimator |
| 原典≠ | 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 ↗ |
| 別名≠ | bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı | winsorization, winsorized mean, Winsorize Edilmiş Tahmin |
| 関連 | 5 | 5 |
| 概要≠ | 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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