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文章基本信息

  • 标题:Local Empirical Likelihood Diagnosis of Varying Coefficient Density-Ratio Models Based on Case-Control Data
  • 本地全文:下载
  • 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
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