期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Empirical Likelihood for Response Differences in Two Linear Regression Models with Missing Data
1
作者 Yong-song QIN Tao QIU Qing-zhu LEI 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2015年第4期963-976,共14页
Oonsider two linear models Xi = U'β + ei, Yj = V1/2y + ηj with response variables missing at random. In this paper, we assume that X, Y are missing at random (MAR) and use the inverse probability weighted imput... Oonsider two linear models Xi = U'β + ei, Yj = V1/2y + ηj with response variables missing at random. In this paper, we assume that X, Y are missing at random (MAR) and use the inverse probability weighted imputation to produce 'complete' data sets for X and Y. Based on these data sets, we construct an empirical likelihood (EL) statistic for the difference of X and Y (denoted as A), and show that the EL statistic has the limiting distribution of X~, which is used to construct a confidence interval for A. Results of a simulation study on the finite sample performance of EL-based confidence intervals on A are reported. 展开更多
关键词 linear model inverse probability weighted imputation empirical likelihood missing at random confidence interval
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部