摘要
在缺失样本下,构造了线性模型中参数的调整的经验似然置信域,数值模拟表明调整的经验似然置信域有较好的覆盖率和精度.
The adjusted empirical likelihood confidence regions are constructed for regression parameter in linear regression model with missing data. Our simulation indicates that the adjusted empirical likelihood confidence regions have good coverage accuracies and average lengths, which perfected the study of linear regression model with missing data.
出处
《数学的实践与认识》
CSCD
北大核心
2009年第11期74-78,共5页
Mathematics in Practice and Theory
基金
国家自然科学基金(10061003)
关键词
线性模型
回归补足
经验似然
linear model
regression imputation~ empirical likelihood
