缺失数据下线性模型中回归参数的经验似然置信区域

Empirical Likelihood Confidence Regions for Regression Parameter in Linear Regression Models with Missing Data

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.