Abstract
We develop a Bayesian procedure for the homogeneity testing problem of r populations using r × s contingency tables. The posterior probability of the homogeneity null hypothesis is calculated using a mixed prior distribution. The methodology consists of choosing an appropriate value of π0 for the mass assigned to the null and spreading the remainder, 1 − π0, over the alternative according to a density function. With this method, a theorem which shows when the same conclusion is reached from both frequentist and Bayesian points of view is obtained. A sufficient condition under which the p-value is less than a value α and the posterior probability is also less than 0.5 is provided.
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Acknowledgments
This research was supported by Universidad Complutense-Comunidad de Madrid and Ministerio de Educación y Ciencia from Spain Grant MTM2005-05462.
We thank an Associate Editor and a referee for their valuable comments.