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A partially exchangeable model and its applications in correlated data
by
Latonya C. Garner
The University of Mississippi
Coauthors: Dr. Hanxiang Peng
In this talk, we generalize the binomial model by relaxing independence to partial exchangeability. We derive the distribution when the sequence of Bernoulli trials forms a Markov chain. We show that the generalized binomial distribution by George and Bowman (1995) hence the classical binomial distribution is a special case. A simulation study will be conducted to illustrate that the proposed distribution can be used to study correlated data, which is our motivation and our future research.
Date received: October 14, 2005
Copyright © 2005 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # carm-79.