Comparer des méthodes

	Inférence par bootstrap	Régression quantile (variantes non paramétriques)
Domaine	Statistique	Statistique
Famille	Regression model	Regression model
Année d'origine	1979	1978
Auteur d'origine	Bradley Efron	Koenker & Bassett
Type	Resampling-based inference	Quantile regression (nonparametric variants)
Source fondatrice	Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26.	Koenker, R. & Bassett, G. (1978). Regression Quantiles. Econometrica, 46(1), 33-50.
Alias	bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı	quantile regression, median regression, distribution-free quantile regression, Kantil Regresyon (Nonparametric Varyantlar)
Apparentées	5	5
Résumé	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.	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.