- Bayesian Model Selection in Weibull Populations
- Bayesian Model Selection in Weibull Populations
- ㆍ 저자명
- Kang. Sang-Gil
- ㆍ 간행물명
- 한국데이터정보과학회지
- ㆍ 권/호정보
- 2007년|18권 4호|pp.1123-1134 (12 pages)
- ㆍ 발행정보
- 한국데이터정보과학회
- ㆍ 파일정보
- 정기간행물|ENG| PDF텍스트
- ㆍ 주제분야
- 기타
This article addresses the problem of testing whether the shape parameters in k independent Weibull populations are equal. We propose a Bayesian model selection procedure for equality of the shape parameters. The noninformative prior is usually improper which yields a calibration problem that makes the Bayes factor to be defined up to a multiplicative constant. So we propose the objective Bayesian model selection procedure based on the fractional Bayes factor and the intrinsic Bayes factor under the reference prior. Simulation study and a real example are provided.