Bayesian Estimate of Discrete Burr Distribution with Two ParametersHalaleh Kamari1, Hossein Bevrani1 and Kaniav Kamary2*
- Corresponding Author:
- Kaniav Kamary
Faculty of Mathematical sciences, University of Tabriz, Iran
Tel: +33 1 44 05 44 05
E-mail: [email protected]
Received: 01/09/2015 Accepted: 30/11/2015 Published: 15/12/2015
In order to generate discrete distributions based on continuous distributions, various techniques have been implemented and their parameters estimate and characteristics have also been discussed through classical methods. But a few number of essays have dealt with such distribution through Bayesian estimate parameters, mainly due to their complexity and increasing number of parameters. This paper dealt with Bayesian estimate discrete Burr distribution with two parameters. In order to simulate the results, Monte-Carlo and Metropolis-Hastings algorithms were used.