Analysis of Empirical Likelihood Confidence Regions in Data Loss Situation of Linear E V Random Model

摘要：

By using the complementary approach of linear regression, this paper has complement the missing data of linear EV model in the case of missing completely at random to response variable, has constructed empirical likelihood ratio statistics of unknown parameters, and has proved the empirical likelihood ratio statistics which had constructed above approximate chi square distribution, finally, according to the results, this article also has constructed confidence regions of unknown parameters.

关键词： empirical likelihood linear EV model data loss chi square distribution

作者: Yunxia Zhang Xiangdong Song

作者单位: College of Science, Yanshan University, Qinhuangdao, Hebei 066004, China E&A College of Hebei Normal College of Science, Yanshan University, Qinhuangdao, Hebei 066004, China

会议类型: 国际会议

会议名称: 2010 International Conference on Probability and Statistics of the International Institute for General Systems Studies(国际一般系统理论研究会中国概率统计学会第二届学术会议IIGSS-CPS2010)

会议地点: 南京

会议语种:英文

页码: 194-197

在线出版日期: 2010-07-29（万方平台首次上网日期，不代表论文的发表时间）