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BCa Bootstrap (Podešena i ubrzana pristrana korekcija)×Dvostruki (iterirani) bootstrap×
PodručjeStatistikaStatistika
ObiteljRegression modelRegression model
Godina nastanka19871986
TvoracBradley EfronHall (1986); Beran (1987)
VrstaResampling confidence intervalResampling calibration (nested bootstrap)
Temeljni izvorEfron, 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 ↗
Drugi naziviBCa Bootstrap (Bias-Corrected Accelerated), bias-corrected accelerated bootstrap, BCa confidence intervaliterated bootstrap, nested bootstrap, calibrated bootstrap, Çift Bootstrap (Double / Iterated Bootstrap)
Srodne55
SažetakThe 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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ScholarGateUsporedite metode: BCa Bootstrap · Double Bootstrap. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare