Research Article Open Access

Bayesian Estimate of Discrete Burr Distribution with Two Parameters

Abstract

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.

Kaniav Kamary^*, Halaleh Kamari and Hossein Bevrani

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