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BCa-Bootstrap (Bias-korrigiert und beschleunigt)×Doppelter (iterierter) Bootstrap×
FachgebietStatistikStatistik
FamilieRegression modelRegression model
Entstehungsjahr19871986
UrheberBradley EfronHall (1986); Beran (1987)
TypResampling confidence intervalResampling calibration (nested bootstrap)
Wegweisende QuelleEfron, B. (1987). Better Bootstrap Confidence Intervals. Journal of the American Statistical Association, 82(397), 171-185. DOI ↗Hall, P. (1986). On the Bootstrap and Confidence Intervals. Annals of Statistics, 14(4), 1431-1452. DOI ↗
AliasnamenBCa Bootstrap (Bias-Corrected Accelerated), bias-corrected accelerated bootstrap, BCa confidence intervaliterated bootstrap, nested bootstrap, calibrated bootstrap, Çift Bootstrap (Double / Iterated Bootstrap)
Verwandt55
ZusammenfassungThe BCa bootstrap is a resampling method, introduced by Bradley Efron in 1987, that produces more accurate confidence intervals than the plain percentile bootstrap by applying a bias correction and an acceleration adjustment. It is recommended for skewed distributions and 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.
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ScholarGateMethoden vergleichen: BCa Bootstrap · Double Bootstrap. Abgerufen am 2026-06-15 von https://scholargate.app/de/compare