%0 Journal Article
	%A N. Deetae and  S. Sukparungsee and  Y. Areepong and  K. Jampachaisri
	%D 2012
	%J International Journal of Mathematical and Computational Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 72, 2012
	%T The Performance of Predictive Classification Using Empirical Bayes
	%U https://publications.waset.org/pdf/2822
	%V 72
	%X This research is aimed to compare the percentages of correct classification of Empirical Bayes method (EB) to Classical method when data are constructed as near normal, short-tailed and long-tailed symmetric, short-tailed and long-tailed asymmetric. The study is performed using conjugate prior, normal distribution with known mean and unknown variance. The estimated hyper-parameters obtained from EB method are replaced in the posterior predictive probability and used to predict new observations. Data are generated, consisting of training set and test set with the sample sizes 100, 200 and 500 for the binary classification. The results showed that EB method exhibited an improved performance over Classical method in all situations under study.

	%P 1703 - 1706