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缺失数据下线性模型中反映变量均值的经验似然置信区间
Empirical Likelihood Confidence Interval for the Mean of Response Variables in Linear Regression Models with Missing Data
【摘要】 在协变量和反映变量都缺失下,构造了线性模型中反映变量均值的经验似然置信区间,数据模拟表明调整的经验似然置信区间有较好的覆盖率和精度,进一步完善了缺失数据下对线性模型的研究.
【Abstract】 The empirical likelihood confidence interval is constructed for the mean of response variables in linear regression model when the independent and the response variables all have missing.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】 经验似然;
置信区间;
缺失数据;
线性回归补足;
【Key words】 empirical likelihood; confidence interval; missing data; regreesion impulation;
【Key words】 empirical likelihood; confidence interval; missing data; regreesion impulation;
【基金】 国家自然科学基金(10061003)
- 【文献出处】 大学数学 ,College Mathematics , 编辑部邮箱 ,2010年02期
- 【分类号】O212.1
- 【被引频次】2
- 【下载频次】121