Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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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)
  • Received : 2012.10.03
  • Accepted : 2012.11.12
  • Published : 2012.11.30
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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.

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References

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Cited by

  1. Robust Bayesian inference in finite population sampling with auxiliary information under balanced loss function vol.25, pp.3, 2014, https://doi.org/10.7465/jkdi.2014.25.3.685
  2. Bayesian small area estimations with measurement errors vol.24, pp.4, 2013, https://doi.org/10.7465/jkdi.2013.24.4.885