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Dvostruki (iterirani) bootstrap×Test permutacije (randomizacije)×
PodručjeStatistikaStatistika
ObiteljRegression modelRegression model
Godina nastanka19862005
TvoracHall (1986); Beran (1987)Good (2005); Edgington & Onghena (2007); resampling tradition
VrstaResampling calibration (nested bootstrap)Nonparametric resampling test
Temeljni izvorHall, P. (1986). On the Bootstrap and Confidence Intervals. Annals of Statistics, 14(4), 1431-1452. DOI ↗Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
Drugi naziviiterated bootstrap, nested bootstrap, calibrated bootstrap, Çift Bootstrap (Double / Iterated Bootstrap)randomization test, exact permutation test, re-randomization test, Permütasyon Testi
Srodne55
SažetakThe double bootstrap is a resampling method that calibrates a bootstrap confidence interval with a second, nested layer of bootstrap to bring its actual coverage closer to the nominal level. Introduced by Hall (1986) and Beran (1987), it is especially valuable for small samples and skewed distributions where a single-layer bootstrap under-covers.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: Double Bootstrap · Permutation Test. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare