:: Volume 7, Issue 2 (3-2011) ::
JSRI 2011, 7(2): 133-154 Back to browse issues page
Bayesian Prediction Intervals under Bivariate Truncated Generalized Cauchy Distribution
F. Ateya
, said_f_atya@yahoo.com
Abstract:   (3501 Views)

Ateya and Madhagi (2011) introduced a multivariate form of truncated generalized Cauchy distribution (TGCD), which introduced by Ateya and Al-Hussaini (2007). The multivariate version of (TGCD) is denoted by (MVTGCD). Among the features of this form are that subvectors and conditional subvectors of random vectors, distributed according to this distribution, have the same form of distribution

(MVTGCD). They also introduced the joint density function, conditional density function, moment generating function and mixed moments. Also, they estimated all parameters of the distribution using the maximum likelihood and Bayes methods.

In this paper, we used the point of view, introduced by Al-Hussaini and Ateya (2010), to obtain the Highest Posterior Density (HPD) prediction intervals of future observations from bivariate truncated generalized Cauchy distribution (BVTGCD).

Keywords: Bayesian prediction intervals, highest posterior density (HPD) prediction intervals, generalized Cauchy distribution, moment generating function, mixed moments.
Full-Text [PDF 254 kb]   (847 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/01/10 | Accepted: 2016/01/10 | Published: 2016/01/10



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Volume 7, Issue 2 (3-2011) Back to browse issues page