Bayesian Approach for Independence Test in Bivariate Exponential Model

  • Cho, Jang-Sik (Department of Information Statistics, Kyungsung University)
  • Published : 2006.04.28

Abstract

In this paper, we consider the Bayesian hypotheses testing for independence in bivariate exponential model. In Bayesian testing problem, we use the noninformative priors for parameters which are improper and are defined only up to arbitrary constants. And we use the recently proposed hypotheses testing criterion called the fractional Bayes factor. Also we give some numerical results to illustrate our results.

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