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Statistical estimation in partial linear models with covariate data missing at random
Wang, Qi-Hua1,2
2009-03-01
发表期刊ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS
ISSN0020-3157
卷号61期号:1页码:47-84
摘要In this paper, we consider the partial linear model with the covariables missing at random. A model calibration approach and a weighting approach are developed to define the estimators of the parametric and nonparametric parts in the partial linear model, respectively. It is shown that the estimators for the parametric part are asymptotically normal and the estimators of g(center dot) converge to g(center dot) with an optimal convergent rate. Also, a comparison between the proposed estimators and the complete case estimator is made. A simulation study is conducted to compare the finite sample behaviors of these estimators based on bias and standard error.
关键词Model calibration Weighted estimator Asymptotic normality
DOI10.1007/s10463-007-0137-1
语种英语
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000263127800003
出版者SPRINGER HEIDELBERG
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/7702
专题应用数学研究所
通讯作者Wang, Qi-Hua
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
2.Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R China
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Wang, Qi-Hua. Statistical estimation in partial linear models with covariate data missing at random[J]. ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS,2009,61(1):47-84.
APA Wang, Qi-Hua.(2009).Statistical estimation in partial linear models with covariate data missing at random.ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS,61(1),47-84.
MLA Wang, Qi-Hua."Statistical estimation in partial linear models with covariate data missing at random".ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS 61.1(2009):47-84.
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