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Likelihood-based imputation inference for mean functionals in the presence of missing responses
Wang, QH
2004-09-01
Source PublicationANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS
ISSN0020-3157
Volume56Issue:3Pages:403-414
AbstractThis paper considers a semiparametric model which parameterizes only the conditional density of a response given covariates and allows the marginal distribution of the covariates to be completely arbitrary when responses are missing. Different estimators with asymptotic normality for the mean of the response variable are derived, respectively, in the two cases where auxiliary information is available or not. The resulting asymptotic behaviors show that the use of auxiliary information improves inference via empirical likelihood approach.
Keywordasymptotic efficiency missing response resampling imputation
Language英语
WOS Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:000224480700001
PublisherKLUWER ACADEMIC PUBL
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/19152
Collection应用数学研究所
Affiliation1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
2.Heilongjiang Univ, Harbin 150008, Peoples R China
Recommended Citation
GB/T 7714
Wang, QH. Likelihood-based imputation inference for mean functionals in the presence of missing responses[J]. ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS,2004,56(3):403-414.
APA Wang, QH.(2004).Likelihood-based imputation inference for mean functionals in the presence of missing responses.ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS,56(3),403-414.
MLA Wang, QH."Likelihood-based imputation inference for mean functionals in the presence of missing responses".ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS 56.3(2004):403-414.
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