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BCa Bootstrap (Podešena i ubrzana pristrana korekcija)×Test permutacije (randomizacije)×
PodručjeStatistikaStatistika
ObiteljRegression modelRegression model
Godina nastanka19872005
TvoracBradley EfronGood (2005); Edgington & Onghena (2007); resampling tradition
VrstaResampling confidence intervalNonparametric resampling test
Temeljni izvorEfron, 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
Drugi naziviBCa Bootstrap (Bias-Corrected Accelerated), bias-corrected accelerated bootstrap, BCa confidence intervalrandomization test, exact permutation test, re-randomization test, Permütasyon Testi
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 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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ScholarGateUsporedite metode: BCa Bootstrap · Permutation Test. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare