A Note On Bayesian Estimation and Prediction for the Beta-binomial Model
by Jack C. Lee, and Y. L. Lio
.
Abstract:
The beta-binomial model which is generated by a simple mixture model has been widely applied in the social, physical, and health sciences. Lee and Sabavala (1987) proposed a Bayesian approach with a conjugate-type beta family of priors for suitably transformed parameters in the beta-binomial, and demonstrated the simulations for special case of two trials. The main purpose of the paper is to extend the study of Lee and Sabavala (1987) by numerical integration. This method can be used for the general case of trials. When the number of trials is two, the results are similar to those from Lee and Sabavala (1987). However, the predictions for the real problems are much better than the results in Lee and Sabavala (1987).
Key Words:
Conjugate-type priors, Simulation, Television viewing.
Authors:
Jack C. Lee,
jclee@stat.nctu.edu.tw
Y. L. Lio,
ylio@charlie.usd.edu
Editor:
Don Edwards,
edwards@stat.scarolina.edu
READING THE ARTICLE: You can read the article in
portable document (.pdf) format (33897 bytes.)
NOTE: The content of this article is the intellectual property of the authors, who retains all rights to future publication.
This page has been accessed times since .
Return to the 
Home Page.