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Inférence par bootstrap×Bootstrap itéré×
DomaineStatistiqueStatistique
FamilleRegression modelRegression model
Année d'origine19791986
Auteur d'origineBradley EfronHall (1986); Beran (1987)
TypeResampling-based inferenceResampling calibration (nested bootstrap)
Source fondatriceEfron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗Hall, P. (1986). On the Bootstrap and Confidence Intervals. Annals of Statistics, 14(4), 1431-1452. DOI ↗
Aliasbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımıiterated bootstrap, nested bootstrap, calibrated bootstrap, Çift Bootstrap (Double / Iterated Bootstrap)
Apparentées55
RésuméBootstrap 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.The 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.
ScholarGateJeu de données
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  2. 2 Sources
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  1. v1
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  3. PUBLISHED

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ScholarGateComparer des méthodes: Bootstrap Inference · Double Bootstrap. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare