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缺失数据下非线性EV模型参数的经验似然置信域
引用本文:刘强,薛留根.缺失数据下非线性EV模型参数的经验似然置信域[J].数学物理学报(A辑),2012,32(1):233-245.
作者姓名:刘强  薛留根
作者单位:首都经济贸易大学统计学院 北京 100070|北京工业大学应用数理学院 北京 100022
基金项目:国家社科基金项目(10CTJ001)、北京市教委社科计划项目(SM201110038014)和北京市属高等学校人才强教计划-中青年骨干人才培养计划(PHR201008214)资助
摘    要:考虑解释变量带有测量误差且响应变量随机缺失情形下的非线性EV模型.通过利用核实数据, 构造了未知参数的两种经验对数似然比统计量. 证明了所构造统计量的分布渐近于χ2分布, 所得结果可以用来构造未知参数的渐近置信域.

关 键 词:非线性EV模型  经验似然  核实数据  缺失数据
收稿时间:2009-05-20
修稿时间:2011-03-07

Empirical Likelihood Confidence Regions of Parameters in Nonlinear EV Models under Missing Data
LIU Qiang,XUE Liu-Gen.Empirical Likelihood Confidence Regions of Parameters in Nonlinear EV Models under Missing Data[J].Acta Mathematica Scientia,2012,32(1):233-245.
Authors:LIU Qiang  XUE Liu-Gen
Institution:School of Statistics, Capital University of Economics and Business, Beijing 100070|College of Applied Sciences, Beijing University of Technology, Beijing 100022
Abstract:The missing response problem in the nonlinear EV(error-in-variables) models is considered, where the explanatory variate X is erroneously measured. With the help of val-idation data, two empirical log-likelihood ratio statistics for the unknown parameters in the model are proposed. It is proved that the proposed statistics are asymptotically chi-square distribution under some mild conditions, and hence can be used to constructing the confidence regions of the parameters.
Keywords:Nonlinear EV modelszz  Empirical likelihoodzz  Validation datazz  Missing datazz
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