EMPIRICAL LIKELIHOOD INFERENCE FOR LOGISTIC EQUATION WITH RANDOM PERTURBATION-中国期刊网

摘要 Empiricallikelihood(EL)combinedwithestimatingequations(EE)providesamodernsemi-parametricalternativetoclassicalestimationtechniquessuchasmaximumlikelihoodestimation(MLE).ThispapernotonlyusesclosedformofconditionalexpectationandconditionalvarianceofLogisticequationwithrandomperturbationtoperformmaximumempiricallikelihoodestimation(MELE)forthemodelparameters,butalsoproposesanempiricallikelihoodratiostatistic(ELRS)forhypothesesconcerningtheinterestingparameter.MonteCarlosimulationresultsshowthatMELEandELRSprovidecompetitiveperformancetoparametricalternatives.

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EMPIRICAL LIKELIHOOD INFERENCE FOR LOGISTIC EQUATION WITH RANDOM PERTURBATION

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EMPIRICAL LIKELIHOOD INFERENCE FOR LOGISTIC EQUATION WITH RANDOM PERTURBATION

来源期刊

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