删失线性模型的经验似然诊断  

Diagnostic Measures for Censored Linear Models based on Empirical Likelihood Method

作　　者：丁先文[1] 徐亮[2] 

机构地区：[1]江苏理工学院数理学院,常州213001 [2]东南大学数学系,南京211189

出　　处：《应用概率统计》2013年第5期458-468,共11页Chinese Journal of Applied Probability and Statistics

基　　金：国家自然科学基金(NSFC11171065);江苏省自然科学基金(NSFJSBK2011058);江苏理工学院博士启动基金(KYY11052);江苏理工学院研究基金(JG13022)资助

摘　　要：基于经验似然方法对删失线性模型进行统计诊断.首先介绍基于经验似然方法的线性模型的统计诊断;其次将删失线性模型转换为线性模型,并对转换后的模型进行统计诊断;最后通过模拟计算和实例分析说明了诊断方法的有效性.In this paper, the diagnostic measures for censored linear models are studied based on the empirical likelihood method. First, the diagnostic measures for linear models are studied; Then, the censored linear models are converted to linear models, and the diagnostic measures for converted models are studied; Last, simulation studies and real data analysis are given to illustrate the validity of statistical diagnostic measures.

关 键 词：经验似然 模型转换 统计诊断 有效性 

分 类 号：O212.2[理学—概率论与数理统计]