因变量缺失的变系数部分线性模型的有效估计
Estimation in Functional-coefficient Partially Linear Regression Model with Data Missing at Random
摘要
讨论了因变量随机缺失条件下变系数部分线性模型的估计问题。基于局部借补思想,使用局部线性方法和平均技巧同时得到了各个估计量的估计,进而给出了估计的渐近性质。
Abstract
A functional-coefficient partially linear regression model is considered when the responses are missing at random（MAR）.Based on the method of the estimation with the imputed values,the local linear method and averaged technique are employed to give the es
关键词
变系数部分线性模型/随机缺失/借补Key words
functional-coefficient partially linear model/missing at random/local imputation引用本文复制引用
基金项目
出版年
2011
NETL
NSTL
万方数据