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BCa Bootstrap (Bias-Corrected and Accelerated)×Bootstrap-inferentie×
VakgebiedStatistiekStatistiek
FamilieRegression modelRegression model
Jaar van ontstaan19871979
GrondleggerBradley EfronBradley Efron
TypeResampling confidence intervalResampling-based inference
Oorspronkelijke bronEfron, B. (1987). Better Bootstrap Confidence Intervals. Journal of the American Statistical Association, 82(397), 171-185. DOI ↗Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗
AliassenBCa Bootstrap (Bias-Corrected Accelerated), bias-corrected accelerated bootstrap, BCa confidence intervalbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı
Verwant55
SamenvattingThe 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.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.
ScholarGateGegevensset
  1. v1
  2. 2 Bronnen
  3. PUBLISHED
  1. v1
  2. 2 Bronnen
  3. PUBLISHED

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ScholarGateMethoden vergelijken: BCa Bootstrap · Bootstrap Inference. Geraadpleegd op 2026-06-15 via https://scholargate.app/nl/compare