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Bootstrap-inferens×Kvantilregression (ikke-parametriske varianter)×
FagområdeStatistikStatistik
FamilieRegression modelRegression model
Oprindelsesår19791978
OphavspersonBradley EfronKoenker & Bassett
TypeResampling-based inferenceQuantile regression (nonparametric variants)
Oprindelig kildeEfron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗Koenker, R. & Bassett, G. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗
Aliasserbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımıquantile regression, median regression, distribution-free quantile regression, Kantil Regresyon (Nonparametric Varyantlar)
Relaterede55
ResuméBootstrap 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.Quantile regression, introduced by Koenker and Bassett in 1978, models a chosen conditional quantile (such as the median or the 25th and 75th percentiles) of a continuous outcome rather than its mean. Its nonparametric variants fit these quantile relationships without assuming a distribution for the errors, making them a robust complement to mean-based regression on skewed data.
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ScholarGateSammenlign metoder: Bootstrap Inference · Nonparametric Quantile Regression. Hentet 2026-06-17 fra https://scholargate.app/da/compare