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Bootstrapinferens×Permutationstest (Randomiseringstest)×
ÄmnesområdeStatistikStatistik
FamiljRegression modelRegression model
Ursprungsår19792005
UpphovspersonBradley EfronGood (2005); Edgington & Onghena (2007); resampling tradition
TypResampling-based inferenceNonparametric resampling test
UrsprungskällaEfron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
Aliasbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımırandomization test, exact permutation test, re-randomization test, Permütasyon Testi
Närliggande55
SammanfattningBootstrap inference, introduced by Bradley Efron in 1979, estimates the sampling distribution of a statistic by repeatedly resampling the observed data with replacement. It requires no distributional assumption and produces reliable confidence intervals even in 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.
ScholarGateDatamängd
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  1. v1
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  3. PUBLISHED

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ScholarGateJämför metoder: Bootstrap Inference · Permutation Test. Hämtad 2026-06-15 från https://scholargate.app/sv/compare