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

作　　者：齐化富[1] 秦永松[2] 

机构地区：[1]青岛港湾职业技术学院基础部,山东青岛266404 [2]广西师范大学数学科学学院,广西桂林541004

出　　处：《数学的实践与认识》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)

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.

关 键 词：线性模型 回归补足 经验似然 

分 类 号：O212.1[理学—概率论与数理统计] O213.2[理学—数学]