方法证据记录
Nonparametric Quantile Regression
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Quantile Regression (Nonparametric Variants)
分类方法记录 · regression-model / statistics
- Koenker, R. & Bassett, G. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. · DOI 10.2307/1913643
- Koenker, R. (2005). Quantile Regression. Cambridge University Press. · ISBN 978-0521608275
精选声明
声明已持久化到证据分类账中，每个声明都有自己的评估。
尚无精选声明
当分类账中没有声明时，此视图不会自行创建声明评估。
相关方法
从方法图中生成，显示为机器建议的关系 — 不推断任何证据声明。