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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제9권 제3호
- 발행연도
- 2007.1
- 수록면
- 1,029 - 1,035 (7page)
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In this paper, we consider fractional Bayes factor approach for independence test in Marshall and Olkin's bivariate exponential model with type I censored data. We use an improper prior for the parameters so that such prior is defined only up to arbitrary constant which affects the values of Bayes factors. So we compute the fractional Bayes factor proposed by O'Hagan(1995) to compensate for that arbitrariness. We propose Bayesian testing procedure for independence based on fractional Bayes factor and calculate the posterior probabilities for the hypotheses, respectively. And we give a numerical examples to illustrate our procedure.
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참고문헌 (8)
참고문헌 신청
Berger, J. O. / 1996 / The Intrinsic Bayes Factor for Model Selection and Prediction / Journal of the American Statistical Association 91 : 109 ~ 122
Marshall, A. W. / 1967 / A Multivariate Exponential Distribution / Journal of the American Statistical Association 62 : 30 ~ 44
O'Hagan, A. / 1995 / Fractional Bayes Factors for Model Comparison(with discussion) / Journal of Royal Statistical Society 56 : 99 ~ 118
San Martini, A. / 1984 / A Predictive Model Selection Criterion / Journal of Royal Statistical Society 46 : 296 ~ 303
김영훈 / 2005 / Bayes Factor for Testing the Equality of Two Inverse Gaussian Population / Journal of The Korean Data Analysis Society 7 (4) : 1145 ~ 1153
Marshall, A. W. / 1967 / A Multivariate Exponential Distribution / Journal of the American Statistical Association 62 : 30 ~ 44
O'Hagan, A. / 1995 / Fractional Bayes Factors for Model Comparison(with discussion) / Journal of Royal Statistical Society 56 : 99 ~ 118
San Martini, A. / 1984 / A Predictive Model Selection Criterion / Journal of Royal Statistical Society 46 : 296 ~ 303
김영훈 / 2005 / Bayes Factor for Testing the Equality of Two Inverse Gaussian Population / Journal of The Korean Data Analysis Society 7 (4) : 1145 ~ 1153
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