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BCa Bootstrap (Bias-korrigeret og accelereret)×Permutationstest (Randomiseringstest)×
FagområdeStatistikStatistik
FamilieRegression modelRegression model
Oprindelsesår19872005
OphavspersonBradley EfronGood (2005); Edgington & Onghena (2007); resampling tradition
TypeResampling confidence intervalNonparametric resampling test
Oprindelig kildeEfron, B. (1987). Better Bootstrap Confidence Intervals. Journal of the American Statistical Association, 82(397), 171-185. DOI ↗Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
AliasserBCa Bootstrap (Bias-Corrected Accelerated), bias-corrected accelerated bootstrap, BCa confidence intervalrandomization test, exact permutation test, re-randomization test, Permütasyon Testi
Relaterede55
ResuméThe 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 permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value.
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ScholarGateSammenlign metoder: BCa Bootstrap · Permutation Test. Hentet 2026-06-15 fra https://scholargate.app/da/compare