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BCa Bootstrap (Bias-Corrected and Accelerated)×Test permutáciou (randomizačný test)×
OdborŠtatistikaŠtatistika
RodinaRegression modelRegression model
Rok vzniku19872005
TvorcaBradley EfronGood (2005); Edgington & Onghena (2007); resampling tradition
TypResampling confidence intervalNonparametric resampling test
Pôvodný zdrojEfron, 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
Ďalšie názvyBCa Bootstrap (Bias-Corrected Accelerated), bias-corrected accelerated bootstrap, BCa confidence intervalrandomization test, exact permutation test, re-randomization test, Permütasyon Testi
Príbuzné55
ZhrnutieThe 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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ScholarGatePorovnať metódy: BCa Bootstrap · Permutation Test. Získané 2026-06-15 z https://scholargate.app/sk/compare