Advances and Applications in Statistics
Volume 7, Issue 3, Pages 441 - 449
(December 2007)
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MULTIPLE COMPARISONS FOR FREUND?S BIVARIATE EXPONENTIAL POPULATIONS BASED ON FRACTIONAL BAYES FACTOR
Jang Sik Cho (Korea)
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Abstract: In this paper, we suggest a Bayesian multiple comparisons procedure for failure rates in K Freund?s bivariate exponential populations based on a noninformative prior for the parameters. We compute fractional Bayes factor for all comparisons. Also, we calculate the posterior probabilities for all models and select the model with highest posterior probability as best model. Finally we give a numerical example to illustrate our procedure. |
Keywords and phrases: Bayesian multiple comparison, bivariate exponential model, fractional Bayes factor, noninformative priors, multiple comparison, posterior probability. |
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