Quantile regression is a basic tool for estimating conditional quantiles of a response variable Y given a vector of regressors X.
分位数回归是给定 回归变量X，估计响应变量Y条件分位数的一个基本方法。
Regarding the classical models of regression analysis, people generally assume that its response variable is the continual variable.
对于经典回归分析模型来说，人们一般都是假定其响应变量为连续型变量。
In this paper, on the basis of structural regression models the estimation of the population-averaged treatment effects is given when the response variable is a multi-dimensional vector.
在可交换条件下，当响应变量为多维时，利用结构回归模型研究总体平均处理效应的估计。
In this paper, on the basis of structural regression models the estimation of the population-averaged treatment effects is given when the response variable is a multi-dimensional vector.
在可交换条件下，当响应变量为多维时，利用结构回归模型研究总体平均处理效应的估计。
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