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Estimation in partially linear models with missing responses at random
Wanga, Qihua; Sun, Zhihua
2007-08-01
发表期刊JOURNAL OF MULTIVARIATE ANALYSIS
ISSN0047-259X
卷号98期号:7页码:1470-1493
摘要A partially linear model is considered when the responses are missing at random. Imputation, semiparametric regression surrogate and inverse marginal probability weighted approaches are developed to estimate the regression coefficients and the nonparametric function, respectively. All the proposed estimators for the regression coefficients are shown to be asymptotically normal, and the estimators for the nonparametric function are proved to converge at an optimal rate. A simulation study is conducted to compare the finite sample behavior of the proposed estimators. (c) 2006 Elsevier Inc. All rights reserved.
关键词imputation estimator regression surrogate estimator inverse marginal probability weighted estimator asymptotic normality
DOI10.1016/j.jmva.2006.10.003
语种英语
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000247973000009
出版者ELSEVIER INC
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/4818
专题应用数学研究所
通讯作者Wanga, Qihua
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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GB/T 7714
Wanga, Qihua,Sun, Zhihua. Estimation in partially linear models with missing responses at random[J]. JOURNAL OF MULTIVARIATE ANALYSIS,2007,98(7):1470-1493.
APA Wanga, Qihua,&Sun, Zhihua.(2007).Estimation in partially linear models with missing responses at random.JOURNAL OF MULTIVARIATE ANALYSIS,98(7),1470-1493.
MLA Wanga, Qihua,et al."Estimation in partially linear models with missing responses at random".JOURNAL OF MULTIVARIATE ANALYSIS 98.7(2007):1470-1493.
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