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  Advances and Applications in Statistics  
 ISSN: 0972-3617
 
 
 

     Advances and Applications in Statistics
    Volume 8, Issue 1, Pages 101 - 107 (February 2008)


BAYESIAN TESTING FOR INDEPENDENCE IN MARSHALL AND OLKIN’S BIVARIATE EXPONENTIAL MODEL

Jang Sik Cho (Korea), Chang Wan Kang (Korea) and Seung Bae Choi (Korea)

Received June 1, 2007

References:



[1] J. O. Berger and L. R. Pericchi, The intrinsic Bayes factor for model selection and prediction, J. Amer. Statist. Assoc. 91 (1996), 109-122.

[2] J. S. Cho, Multiple comparisons of the proportions for the negative binomial populations using fractional Bayes factor, J. Korean Data Anal. Soc. 8(4) (2006), 1361-1368.

[3] J. S. Cho and Y. J. Cha, Bayesian testing for the ratio of the failure rates in two components system, J. Korean Data Anal. Soc. 8(3) (2006), 913-918.

[4] J. S. Cho, Y. J. Cha and J. M. Lee, Bayesian multiple comparisons in geometric populations, J. Korean Data Anal. Soc. 8(3) (2006), 919-926.

[5] A. W. Marshall and I. Olkin, A multivariate exponential distribution, J. Amer. Statist. Assoc. 62 (1967), 30-44.

[6] A. O’Hagan, Fractional Bayes factors for model comparison (with discussion), J. Roy. Statist. Soc. 56 (1995), 99-118.

[7] A. San Martini and F. Spezzaferri, A predictive model selection criterion, J. Roy. Statist. Soc. 46 (1984), 296-303.

Keywords and phrases: Bayesian testing, bivariate exponential model, fractional Bayes factor, improper prior, Marshall and Olkin’s model, posterior probability.

 


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