Open Science Research Excellence
%0 Journal Article
%A T. N. Sindhu and  M. Aslam
%D 2014 
%J  International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 85, 2014
%T On the Parameter of the Burr Type X under Bayesian Principles 
%U http://waset.org/publications/9997677
%V 85
%X A comprehensive Bayesian analysis has been carried out in the context of informative and non-informative priors for the shape parameter of the Burr type X distribution under different symmetric and asymmetric loss functions. Elicitation of hyperparameter through prior predictive approach is also discussed. Also we derive the expression for posterior predictive distributions, predictive intervals and the credible Intervals. As an illustration, comparisons of these estimators are made through simulation study.

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