Vertaile menetelmiä

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BCa-bootstrap (harhaa korjattu ja kiihdytetty)×Permutaatiotesti (Randomisointitesti)×
TieteenalaTilastotiedeTilastotiede
MenetelmäperheRegression modelRegression model
Syntyvuosi19872005
KehittäjäBradley EfronGood (2005); Edgington & Onghena (2007); resampling tradition
TyyppiResampling confidence intervalNonparametric resampling test
AlkuperäislähdeEfron, 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
RinnakkaisnimetBCa Bootstrap (Bias-Corrected Accelerated), bias-corrected accelerated bootstrap, BCa confidence intervalrandomization test, exact permutation test, re-randomization test, Permütasyon Testi
Liittyvät55
TiivistelmäThe 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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ScholarGateVertaile menetelmiä: BCa Bootstrap · Permutation Test. Haettu 2026-06-15 osoitteesta https://scholargate.app/fi/compare