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INFLUENCE ANALYSIS ON EXPONENTIAL NONLINEAR MODELS WITH RANDOM EFFECTS
作者姓名:宗序平  赵俊  王海斌  韦博成
作者单位:Department of Mathematics,Yangzhou University,Yangzhou 225001,China,Department of Mathematics,Yangzhou University,Yangzhou 225001,China,Department of Mathematics,Southeast University,Nanjing 210096,China,Department of Mathematics,Southeast University,Nanjing 210096,China
基金项目:NSFC(1963104),NSFJ and the grand Of YZU
摘    要:This paper presents a unified diagnostic method for exponential nonlinearmodels with random effects based upon the joint likelihood given by Robinson in 1991.The authors show that the case deletion model is equivalent to mean shift outlier model.From this point of view, several diagnostic measures, such as Cook distance, score statistics

收稿时间:20 March 2000

INFLUENCE ANALYSIS ON EXPONENTIAL NONLINEAR MODELS WITH RANDOM EFFECTS
Zhong Xuping Zhao Jun.INFLUENCE ANALYSIS ON EXPONENTIAL NONLINEAR MODELS WITH RANDOM EFFECTS[J].Acta Mathematica Scientia,2003,23(3):297-308.
Authors:Zhong Xuping Zhao Jun
Institution:Zhong Xuping Zhao Jun Department of Mathematics,Yangzhou University,Yangzhou 225001,China Wang Haibin Wei Bocheng Department of Mathematics,Southeast University,Nanjing 210096,China
Abstract:This paper presents a unified diagnostic method for exponential nonlinear models with random effects based upon the joint likelihood given by Robinson in 1991. The authors show that the case deletion model is equivalent to mean shift outlier model. From this point of view, several diagnostic measures, such as Cook distance, score statistics are derived. The local influence measure of Cook is also presented. Numerical example illustrates that our method is available.
Keywords:Cook distance  exponential nonlinear models  fixed effects  local influence  random effects
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