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Model checking for partially linear models with missing responses at random
Sun, Zhihua2,3; Wang, Qihua1,3; Dai, Pengjie3
2009-04-01
发表期刊JOURNAL OF MULTIVARIATE ANALYSIS
ISSN0047-259X
卷号100期号:4页码:636-651
摘要In this paper, we investigate the model checking problem for a partial linear model while some responses are missing at random. By imputation and marginal inverse probability weighted methods, two completed data sets are constructed. Based on the two completed data sets, we build two empirical process-based tests for examining the adequacy of partial linearity of the model. The asymptotic distributions of the test statistics under the null hypothesis and local alternative hypotheses are obtained respectively. A re-sampling approach is applied to obtain the approximation to the null distributions of the test statistics. Simulation results show that the proposed tests work well and both proposed methods have better finite sample properties compared with the complete case (CC) analysis which discards all the subjects with missing data. (C) 2008 Elsevier Inc. All rights reserved.
关键词Model checking Response missing at random Imputation Inverse probability weighting Empirical process Re-sampling
DOI10.1016/j.jmva.2008.07.002
语种英语
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000263136700006
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/8740
专题应用数学研究所
通讯作者Wang, Qihua
作者单位1.Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R China
2.Chinese Acad Sci, Grad Univ, Dept Math, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
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Sun, Zhihua,Wang, Qihua,Dai, Pengjie. Model checking for partially linear models with missing responses at random[J]. JOURNAL OF MULTIVARIATE ANALYSIS,2009,100(4):636-651.
APA Sun, Zhihua,Wang, Qihua,&Dai, Pengjie.(2009).Model checking for partially linear models with missing responses at random.JOURNAL OF MULTIVARIATE ANALYSIS,100(4),636-651.
MLA Sun, Zhihua,et al."Model checking for partially linear models with missing responses at random".JOURNAL OF MULTIVARIATE ANALYSIS 100.4(2009):636-651.
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