Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Bayesian Multiple Comparison of Bivariate Exponential Populations based on Fractional Bayes Factor

  • Cho, Jang-Sik (Department of Informational Statistics, Kyungsung University) ;
  • Cho, Kil-Ho (Department of Statistics, Kyungpook National University) ;
  • Choi, Seung-Bae (Department of Information Statistics, Dongeui University)
  • Published : 2006.08.31
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Abstract

In this paper, we consider the Bayesian multiple comparisons problem for K bivariate exponential populations to make inferences on the relationships among the parameters based on observations. And we suggest the Bayesian procedure based on fractional Bayes factor when noninformative priors are applied for the parameters. Also, we give a numerical examples to illustrate our procedure.

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