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《Journal of Chongqing University of Technology(Natural Science)》 2017-08
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Statistical Diagnostics for Generalized Linear Models with Right-Censored Data

JI Wenqi;FENG Yu;School of Science,Nanjing University of Science and Technology;  
This paper investigates statistical diagnosis problem of the generalized linear models with right-censored data. First,we derive the likelihood function under right-censored data to obtain maximum likelihood estimates for the parameters. Based on the case-deletion models and using the first order Taylor approximation of parameter estimates,we then propose the diagnostic tools such as the generalized cook distance and the likelihood distance to determine outfielders and/or influential cases in the data. We also prove the equivalence of two distances. Finally,we use a real data example to verify the efficiency and feasibility of the proposed diagnostic methods.
【Fund】: 国家自然科学基金资助项目(11271189)
【CateGory Index】: O212.1
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