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Parametrisk bootstrap×Bootstrapinferens×
ÄmnesområdeStatistikStatistik
FamiljRegression modelRegression model
Ursprungsår19931979
UpphovspersonEfron & Tibshirani; Davison & HinkleyBradley Efron
TypResampling-based inference (model-based)Resampling-based inference
UrsprungskällaEfron, B. & Tibshirani, R. J. (1993). An Introduction to the Bootstrap. CRC Press. ISBN: 978-0412042317Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗
Aliasparametrik bootstrap, model-based bootstrap, parametric resamplingbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı
Närliggande55
SammanfattningThe parametric bootstrap is a resampling method that estimates standard errors and confidence intervals by drawing repeated samples from a parametric model that has been fitted to the data. Developed in the bootstrap literature of Efron and Tibshirani (1993) and Davison and Hinkley (1997), it replaces analytic derivations for non-normal distributions and complex statistics.Bootstrap 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.
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ScholarGateJämför metoder: Parametric Bootstrap · Bootstrap Inference. Hämtad 2026-06-15 från https://scholargate.app/sv/compare