Proceedings of the Korean Statistical Society Conference (한국통계학회:학술대회논문집)
- 2004.11a
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- Pages.229-236
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- 2004
A Bayesian Approach to Paired Comparison of Several Products of Poisson Rates
- Kim Dae-Hwang (Institute of Basic Science, Yonsei University) ;
- Kim Hea-Jung (Department of Statistics Dongguk University)
- Published : 2004.11.01
Abstract
This article presents a multiple comparison ranking procedure for several products of the Poisson rates. A preference probability matrix that warrants the optimal comparison ranking is introduced. Using a Bayesian Monte Carlo method, we develop simulation-based procedure to estimate the matrix and obtain the optimal ranking via a row-sum scores method. Necessary theory and two illustrative examples are provided.
Keywords
- Multiple comparison ranking;
- Noninformative prior;
- Preference probability matrix;
- Product of Poisson rates;
- Weighted Monte Carlo method