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Estimation of linear error-in-covariables models with validation data under random censorship
Wang, QH
2000-08-01
Source PublicationJOURNAL OF MULTIVARIATE ANALYSIS
ISSN0047-259X
Volume74Issue:2Pages:245-266
AbstractConsider the linear models of the form Y = X(tau)beta + epsilon with the response Y censored randomly on the right and X measured erroneously. Without specifying any error models, in this paper, a semiparametric method is applied to the estimation of the parametric vector beta with the help of proper validation data. For the proposed estimator, an asymptotic representation is established and the asymptotic normality is also proved. (C) 2000 Academic Press. AMS 1991 subject classifications: primary, 62F05, 62J05; secondary, 62G05, 62E20.
Keywordlinear model validation data random censoring asymptotic normality
DOI10.1006/jmva.1999.1869
Language英语
WOS Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:000088797300004
PublisherACADEMIC PRESS INC
Citation statistics
Cited Times:12[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/15452
Collection中国科学院数学与系统科学研究院
Affiliation1.Beijing Univ, Dept Stat & Probabil, Beijing 100871, Peoples R China
2.Chinese Acad Sci, Inst Appl Math, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Wang, QH. Estimation of linear error-in-covariables models with validation data under random censorship[J]. JOURNAL OF MULTIVARIATE ANALYSIS,2000,74(2):245-266.
APA Wang, QH.(2000).Estimation of linear error-in-covariables models with validation data under random censorship.JOURNAL OF MULTIVARIATE ANALYSIS,74(2),245-266.
MLA Wang, QH."Estimation of linear error-in-covariables models with validation data under random censorship".JOURNAL OF MULTIVARIATE ANALYSIS 74.2(2000):245-266.
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