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Dimension reduction in partly linear error-in-response models with validation data
Wang, QH
2003-05-01
发表期刊JOURNAL OF MULTIVARIATE ANALYSIS
ISSN0047-259X
卷号85期号:2页码:234-252
摘要Consider partial linear models of the form Y=X(tau)beta+g(T)+e with Y measured with error and both p-variate explanatory X and T measured exactly. Let (Y) over tilde be the surrogate variable for Y with measurement error. Let primary data set be that containing independent observations on ((Y) over tilde, X, T) and the validation data set be that containing independent observations on (Y, (Y) over tilde, X, T), where the exact observations on Y may be obtained by some expensive or difficult procedures for only a small subset of subjects enrolled in the study. In this paper, without specifying any structure equations and distribution assumption of Y given (Y) over tilde, a semiparametric dimension reduction technique is employed to obtain estimators of beta and g(.) based the least squared method and kernel method with the primary data and validation data. The proposed estimators of beta are proved to be asymptotically normal, and the estimator for g(.) is proved to be weakly consistent with an optimal convergent rate. (C) 2003 Elsevier Science (USA). All rights reserved.
关键词dimension reduction partial linear model validation data asymptotic normality
DOI10.1016/S0047-259X(02)00066-0
语种英语
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000183083200002
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/18662
专题应用数学研究所
通讯作者Wang, QH
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100871, Peoples R China
2.Heilongjiang Univ, Harbin 150080, Peoples R China
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Wang, QH. Dimension reduction in partly linear error-in-response models with validation data[J]. JOURNAL OF MULTIVARIATE ANALYSIS,2003,85(2):234-252.
APA Wang, QH.(2003).Dimension reduction in partly linear error-in-response models with validation data.JOURNAL OF MULTIVARIATE ANALYSIS,85(2),234-252.
MLA Wang, QH."Dimension reduction in partly linear error-in-response models with validation data".JOURNAL OF MULTIVARIATE ANALYSIS 85.2(2003):234-252.
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