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Bootstrap-inferens×Winsoriseret estimering×
FagområdeStatistikStatistik
FamilieRegression modelRegression model
Oprindelsesår19791960
OphavspersonBradley EfronDixon (1960); robust estimation tradition (Wilcox)
TypeResampling-based inferenceRobust location/scale estimator
Oprindelig kildeEfron, 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 ↗
Aliasserbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımıwinsorization, winsorized mean, Winsorize Edilmiş Tahmin
Relaterede55
ResuméBootstrap 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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ScholarGateSammenlign metoder: Bootstrap Inference · Winsorized Estimation. Hentet 2026-06-17 fra https://scholargate.app/da/compare