Multiple Comparisons of the Proportions for Negative Binomial Populations Using Fractional Bayes Factor

• 발행기관: 한국자료분석학회
• 저자명: 조장식(Jang Sik Cho)
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.8 No.4, 1361~1368쪽, 전체 8쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2006.08.30

영문 초록

Bayesian multiple comparisons for binomial and normal populations were studied by Gopalan and Berry(1998) with nonparametric Dirichlet process priors. Here we consider the specific problem of Bayesian multiple comparisons for the proportions in negative binomial populations using Bayes factor. In many cases, noninformative priors are required for Bayesian approach because of limited information and time constrains. So, we suggest a Bayesian procedure for multiple comparisons in negative binomial populations based on fractional Bayes factor when noninformative priors are applied for the parameter. And an illustrative example with simulated data is presented to demonstrate the whole procedure.

목차

1. Introduction

2. Preliminaries

3. Bayesian Multiple Comparisons in Negative Binomial Populations

4. Numerical Examples

References

키워드

Bayesian Multiple Comparison Configuration Fractional Bayes Factor Negative Binomial Population Noninformative Priors Posterior Probability