Semiparametric inference with a functional-form empirical likelihood

被引:0
|
作者
Chen, Sixia [1 ]
Kim, Jae Kwang [1 ]
机构
[1] Iowa State Univ, Dept Stat, Ames, IA 50011 USA
关键词
Exponential tilting; Generalized method of moments; Nonparametric maximum likelihood method; Profile likelihood ratio test; GENERALIZED-METHOD; MOMENTS ESTIMATORS; LARGE-SAMPLE; INFORMATION; MODELS; TESTS;
D O I
10.1016/j.jkss.2013.07.005
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
A functional-form empirical likelihood method is proposed as an alternative method to the empirical likelihood method. The proposed method has the same asymptotic properties as the empirical likelihood method but has more flexibility in choosing the weight construction. Because it enjoys the likelihood-based interpretation, the profile likelihood ratio test can easily be constructed with a chi-square limiting distribution. Some computational details are also discussed, and results from finite-sample simulation studies are presented. (C) 2013 The Korean Statistical Society. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:201 / 214
页数:14
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