%0 Journal Article
%T Empirical Likelihood Confidence Regions of Parameters in Nonlinear EV Models under Missing Data<br>缺失数据下非线性EV模型参数的经验似然置信域
%A LIU Qiang
%A XUE Liu-Gen
%A <br>刘强
%A 薛留根
%J 数学物理学报(A辑)
%D 2012
%I 
%X 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.
%K Nonlinear EV modelszz
%K Empirical likelihoodzz
%K Validation datazz
%K Missing datazz<br>非线性EV模型
%K 经验似然
%K 核实数据
%K 缺失数据
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=37F46C35E03B4B86&jid=4DB553CDB5F521D8C921082E5C95EC80&aid=46DBF3E8FC2736F0189AC75A8A434AB9&yid=99E9153A83D4CB11&vid=9971A5E270697F23&iid=CA4FD0336C81A37A&sid=FD7C952458BFB5D8&eid=E2E0FBFE4D7EFB94&journal_id=1003-3998&journal_name=数学物理学报(A辑)&referenced_num=0&reference_num=0