文章基本信息

标题：Local Empirical Likelihood Diagnosis of Varying Coefficient Density-Ratio Models Based on Case-Control Data
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作者：Shuling Wang 1 , Lin Zheng 2 , Jiangtao Dai
期刊名称：Open Journal of Statistics
印刷版ISSN：2161-718X
电子版ISSN：2161-7198
出版年度：2014
卷号：04
期号：09
页码：751-756
DOI：10.4236/ojs.2014.49070
语种：English
出版社：Scientific Research Publishing
摘要：In this paper, a varying-coefficient density-ratio model for case-control studies is developed. We investigate the local empirical likelihood diagnosis of varying coefficient density-ratio model for case-control data. The local empirical log-likelihood ratios for the nonparametric coefficient functions are introduced. First, the estimation equations based on empirical likelihood method are established. Then, a few of diagnostic statistics are proposed. At last, we also examine the performance of proposed method for finite sample sizes through simulation studies.
关键词：Varying-Coefficient Density-Ratio Model; Local Empirical Likelihood; Outliers; Influence Analysis