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ブートストラップ推論×Quantile Regression (Nonparametric Variants)×
分野統計学統計学
系統Regression modelRegression model
提唱年19791978
提唱者Bradley EfronKoenker & Bassett
種類Resampling-based inferenceQuantile regression (nonparametric variants)
原典Efron, 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 ↗
別名bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımıquantile regression, median regression, distribution-free quantile regression, Kantil Regresyon (Nonparametric Varyantlar)
関連55
概要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.
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ScholarGate手法を比較: Bootstrap Inference · Nonparametric Quantile Regression. 2026-06-17に以下より取得 https://scholargate.app/ja/compare