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Dvostruki (iterativni) ბootstrap×Бутстрап Инференција×
OblastStatistikaStatistika
PorodicaRegression modelRegression model
Godina nastanka19861979
TvoracHall (1986); Beran (1987)Bradley Efron
TipResampling calibration (nested bootstrap)Resampling-based inference
Temeljni izvorHall, P. (1986). On the Bootstrap and Confidence Intervals. Annals of Statistics, 14(4), 1431-1452. DOI ↗Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗
Drugi naziviiterated bootstrap, nested bootstrap, calibrated bootstrap, Çift Bootstrap (Double / Iterated Bootstrap)bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı
Srodne55
SažetakThe double bootstrap is a resampling method that calibrates a bootstrap confidence interval with a second, nested layer of bootstrap to bring its actual coverage closer to the nominal level. Introduced by Hall (1986) and Beran (1987), it is especially valuable for small samples and skewed distributions where a single-layer bootstrap under-covers.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.
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ScholarGateUporedite metode: Double Bootstrap · Bootstrap Inference. Preuzeto 2026-06-15 sa https://scholargate.app/sr/compare