%0 Journal Article
%T The Weighted Empirical Processes with Estimated Parameters<br>含估计参数的加权经验过程
%A ZHANG Junjian
%A <br>张军舰
%J 系统科学与数学
%D 2009
%I 
%X The theory of weighted empirical processes is an important element for (generalized) nonparametric likelihood ratio goodness of fit test. There are few papers to discuss the weighted empirical processes with estimated parameters. This paper is concerned with the approximation distribution of the weighted empirical processes systematically. The results will provide a certain theoretical basis for (generalized) nonparametric likelihood ratio goodness of fit test with estimated parameters.
%K The weighted empirical processes
%K estimated parameter
%K goodness of fit<br>加权经验过程
%K 估计参数
%K 拟合优度检验.
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=37F46C35E03B4B86&jid=0CD45CC5E994895A7F41A783D4235EC2&aid=C4E6C22F666B6815A6897A716DCF1E9C&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=94C357A881DFC066&sid=C7B13290323C226E&eid=984BD2F4D19B9D1C&journal_id=1000-0577&journal_name=系统科学与数学&referenced_num=1&reference_num=10