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blupestimationoflinearmixedeffectsmodelswithmeasurementerrorsanditsapplicationstotheestimationofsmallareas
Zhu Rong; Zou Guohua
2014
Source Publicationactamathematicasinicaenglishseries
ISSN1439-8516
Volume30Issue:12Pages:2027
AbstractThe linear mixed-effects model (LMM) is a very useful tool for analyzing cluster data. In practice, however, the exact values of the variables are often difficult to observe. In this paper, we consider the LMM with measurement errors in the covariates. The empirical BLUP estimator of the linear combination of the fixed and random effects and its approximate conditional MSE are derived. The application to the estimation of small area is provided. Simulation study shows good performance of the proposed estimators.
Language英语
Funding Project[National Natural Science Foundation of China] ; [National Bureau of Statistics of China]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/39508
Collection系统科学研究所
Affiliation中国科学院数学与系统科学研究院
Recommended Citation
GB/T 7714
Zhu Rong,Zou Guohua. blupestimationoflinearmixedeffectsmodelswithmeasurementerrorsanditsapplicationstotheestimationofsmallareas[J]. actamathematicasinicaenglishseries,2014,30(12):2027.
APA Zhu Rong,&Zou Guohua.(2014).blupestimationoflinearmixedeffectsmodelswithmeasurementerrorsanditsapplicationstotheestimationofsmallareas.actamathematicasinicaenglishseries,30(12),2027.
MLA Zhu Rong,et al."blupestimationoflinearmixedeffectsmodelswithmeasurementerrorsanditsapplicationstotheestimationofsmallareas".actamathematicasinicaenglishseries 30.12(2014):2027.
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