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http://dx.doi.org/10.7465/jkdi.2012.23.6.1241

Bayesian inference in finite population sampling under measurement error model  

Goo, You Mee (Department of Statistics, Kyungpook National University)
Kim, Dal Ho (Department of Statistics, Kyungpook National University)
Publication Information
Journal of the Korean Data and Information Science Society / v.23, no.6, 2012 , pp. 1241-1247 More about this Journal
Abstract
The paper considers empirical Bayes (EB) and hierarchical Bayes (HB) predictors of the finite population mean under a linear regression model with measurement errors We discuss how to calculate the mean squared prediction errors of the EB predictors using jackknife methods and the posterior standard deviations of the HB predictors based on the Markov Chain Monte Carlo methods. A simulation study is provided to illustrate the results of the preceding sections and compare the performances of the proposed procedures.
Keywords
Empirical Bayes; finite population mean; Gibbs sampler; hierachical Bayes jackknife method; mean squared prediction error; posterior standard deviation;
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