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Bayesian estimation under a mixture of the Burr type XII distribution and its reciprocal
Journal article   Peer reviewed

Bayesian estimation under a mixture of the Burr type XII distribution and its reciprocal

K. E. Ahmad, Z. F. Jaheen and Heba S. Mohammed
Journal of statistical computation and simulation, Vol.81(12), pp.2121-2130
12/2011
DOI: https://doi.org/10.1080/00949655.2010.519703

Abstract

Computer Science Computer Science, Interdisciplinary Applications Mathematics Physical Sciences Science & Technology Statistics & Probability Technology
The Bayesian estimation for the parameters of the finite mixture of the Burr type XII distribution with its reciprocal are obtained based on the type-I censored data. The Bayes estimators are computed based on squared error and Linex loss functions and using the idea of Markov chain Monte Carlo algorithm. Based on the Monte Carlo simulation, Bayes estimators are compared with their corresponding maximum-likelihood estimators.

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