Semiparametric model-based inference in the presence of missing responses

doi:10.1093/biomet/asn032

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	Semiparametric model-based inference in the presence of missing responses
	Wang, Qihua; Dai, Pengjie
刊名	BIOMETRIKA
	2008-09-01
卷号	95 期号:3 页码:721-734
关键词	asymptotic efficiency missing response multiple imputation semi-empirical likelihood auxiliary information asymptotic normality
ISSN号	0006-3444
DOI	10.1093/biomet/asn032
英文摘要	We consider a semiparametric model that parameterizes the conditional density of the response, given covariates, but allows the marginal distribution of the covariates to be completely arbitrary. Responses may be missing. A likelihood-based imputation estimator and a semi-empirical-likelihood-based estimator for the parameter vector describing the conditional density are defined and proved to be asymptotically normal. Semi-empirical loglikelihood functions for the parameter vector and the response mean are derived. It is shown that the two semi-empirical loglikelihood functions are distributed asymptotically as weighted chi(2) and scaled chi(2), respectively.
WOS研究方向	Life Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology ; Mathematics
语种	英语
出版者	OXFORD UNIV PRESS
WOS记录号	WOS:000258861000014
内容类型	期刊论文
源URL	[http://ir.amss.ac.cn/handle/2S8OKBNM/5539]
专题	应用数学研究所
通讯作者	Wang, Qihua
作者单位	Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Wang, Qihua,Dai, Pengjie. Semiparametric model-based inference in the presence of missing responses[J]. BIOMETRIKA,2008,95(3):721-734.
APA	Wang, Qihua,&Dai, Pengjie.(2008).Semiparametric model-based inference in the presence of missing responses.BIOMETRIKA,95(3),721-734.
MLA	Wang, Qihua,et al."Semiparametric model-based inference in the presence of missing responses".BIOMETRIKA 95.3(2008):721-734.