首页 | 本学科首页   官方微博 | 高级检索  
     


Empilrical likelihood for non-parametric regression models with missing responses: Multiple design case
Authors:Qing-zhu?Lei  author-information"  >  author-information__contact u-icon-before"  >  mailto:qzlei@yahoo.com.cn"   title="  qzlei@yahoo.com.cn"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Yong-song?Qin
Affiliation:Qing-zhu Lei,Yong-song Qin School of Mathematical Sciences,Guangxi Normal University,Guilin,Guangxi 541004,China
Abstract:Empirical likelihood (EL) ratio statistic on θ = g(x) is constructed based on the inverse probability weighted imputation approach in a nonparametric regression model Y = g(x)+ɛ (x ∈ [0, 1] p ) with fixed designs and missing responses, which asymptotically has χ 12 distribution. This result is used to obtain a EL based confidence interval on θ.
Keywords:Nonparametric regression  empirical likelihood  missing at random  confidence interval  
本文献已被 CNKI 维普 SpringerLink 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