Vertaile menetelmiä

	Bootstrap-estimaatti	Kvanttiiliregressio (ei-parametriset muunnelmat)
Tieteenala	Tilastotiede	Tilastotiede
Menetelmäperhe	Regression model	Regression model
Syntyvuosi	1979	1978
Kehittäjä	Bradley Efron	Koenker & Bassett
Tyyppi	Resampling-based inference	Quantile regression (nonparametric variants)
Alkuperäislähde	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.
Rinnakkaisnimet	bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı	quantile regression, median regression, distribution-free quantile regression, Kantil Regresyon (Nonparametric Varyantlar)
Liittyvät	5	5
Tiivistelmä	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.