Empirical and Hierarchical Bayesian Estimation in Finite Population Sampling under Structural Measurement Error Models
This paper considers simultaneous estimation of means from several strata. A model-based approach is taken, where the covariates in the superpopulation model are subject to measurement errors. Empirical Bayes (EB) and Hierarchical Bayes estimators of the strata means are developed and asymptotic optimality of EB estimators is proved. Their performances are examined and compared with that of the sample mean in a simulation study as well as in data analysis. Copyright 2006 Board of the Foundation of the Scandinavian Journal of Statistics..
Year of publication: |
2006
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Authors: | GHOSH, MALAY ; SINHA, KARABI ; KIM, DALHO |
Published in: |
Scandinavian Journal of Statistics. - Danish Society for Theoretical Statistics, ISSN 0303-6898. - Vol. 33.2006, 3, p. 591-608
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Publisher: |
Danish Society for Theoretical Statistics Finnish Statistical Society Norwegian Statistical Association Swedish Statistical Association |
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