首页 | 本学科首页   官方微博 | 高级检索  
     检索      

一类非线性EV模型的降维估计
引用本文:刘强.一类非线性EV模型的降维估计[J].数学的实践与认识,2011,41(10).
作者姓名:刘强
作者单位:首都经济贸易大学统计学院,北京,100070
基金项目:国家社科基金项目,北京市教委社科计划项目,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,北京市教委统计学特色专业建设资助项目
摘    要:考虑响应变量随机缺失情形下的非线性EV模型.给出了未知参数的降维估计,有效避免了高维核估计带来的维数灾祸问题.所构造的统计量渐近于x~2分布,所得结果可以用来构造未知参数的置信域.

关 键 词:非线性EV模型  经验似然  降维  缺失数据

Estimation of a Kind of Nonlinear EV Models Based Dimension Reduction
LIU Qiang.Estimation of a Kind of Nonlinear EV Models Based Dimension Reduction[J].Mathematics in Practice and Theory,2011,41(10).
Authors:LIU Qiang
Institution:LIU Qiang (School of Statistics,Capital University of Economics and Business,Beijing 100070,China)
Abstract:The missing response problem in the nonlinear EV(error-in-variables) models is considered.An estimation based dimension reduction of the unknown parameter is proposed. Thecure of dimensionproblem in the high-dimension kernel estimation can be settled effectively.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 models  empirical likelihood  dimension reduction  missing data  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号