Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Semiparametric Bayesian multiple comparisons for Poisson Populations

  • Cho, Jang Sik (Department of Statistical Information Science, Kyungsung University) ;
  • Kim, Dal Ho (Department of Statistics, Kyungpook National University) ;
  • Kang, Sang Gil (Department of Statistics, Kyungpook National University)
  • Published : 2001.08.01
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Abstract

In this paper, we consider the nonparametric Bayesian approach to the multiple comparisons problem for I Poisson populations using Dirichlet process priors. We describe Gibbs sampling algorithm for calculating posterior probabilities for the hypotheses and calculate posterior probabilities for the hypotheses using Markov chain Monte Carlo. Also we provide a numerical example to illustrate the developed numerical technique.

Keywords

References

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