首页 | 本学科首页   官方微博 | 高级检索  
     


Statistical diagnosis for non-parametric regression models with random right censorship based on the empirical likelihood method
Authors:Shuling Wang  Xiaoyan Wang  Jiangtao Dai
Affiliation:1. Department of Fundamental Course, Air Force Logistics College, Xuzhou, People's Republic of China;2. Fundamental Science Department, North China Institute of Astronautic Engineering, Langfang, People's Republic of China
Abstract:In this paper, we consider statistical diagnostic for non-parametric regression models with right-censored data based on empirical likelihood. First, the primary model is transformed to the non-parametric regression model. Then, based on empirical likelihood methodology, we define some diagnostic statistics. At last, some simulation studies show that our proposed procedure can work fairly well.
Keywords:random right censorship  Kaplan–Meier product-limit estimate  empirical likelihood  outlier  influence analysis
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号