TITLE:
Local Empirical Likelihood Diagnosis of Varying Coefficient Density-Ratio Models Based on Case-Control Data
AUTHORS:
Shuling Wang, Lin Zheng, Jiangtao Dai
KEYWORDS:
Varying-Coefficient Density-Ratio Model, Local Empirical Likelihood, Outliers, Influence Analysis
JOURNAL NAME:
Open Journal of Statistics,
Vol.4 No.9,
October
15,
2014
ABSTRACT: 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.