Statistical diagnosis for non-parametric regression models with random right censorship based on the empirical likelihood method |
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| Authors: | Shuling Wang Xiaoyan Wang Jiangtao Dai |
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| 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 |
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| 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. |
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| Keywords: | random right censorship Kaplan–Meier product-limit estimate empirical likelihood outlier influence analysis |
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