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Itereret bootstrap×Bootstrap-inferens×
FagområdeStatistikStatistik
FamilieRegression modelRegression model
Oprindelsesår19861979
OphavspersonHall (1986); Beran (1987)Bradley Efron
TypeResampling calibration (nested bootstrap)Resampling-based inference
Oprindelig kildeHall, 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 ↗
Aliasseriterated bootstrap, nested bootstrap, calibrated bootstrap, Çift Bootstrap (Double / Iterated Bootstrap)bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı
Relaterede55
ResuméThe 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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ScholarGateSammenlign metoder: Double Bootstrap · Bootstrap Inference. Hentet 2026-06-15 fra https://scholargate.app/da/compare