Exponentiated Gumbel Model for Software Reliability Data Analysis using MCMC Simulation Method

  title={Exponentiated Gumbel Model for Software Reliability Data Analysis using MCMC Simulation Method},
  author={Raj Kumar and Ashwini Kumar Srivastava},
In this paper, the Markov chain Monte Carlo (MCMC) method has been used to estimate the parameters of Exponentiated Gumbel(EG) model based on a complete sample. A procedure is developed to obtain Bayes estimates of the parameters of the Exponentiated Gumbel model using MCMC simulation method in OpenBUGS, an established software for Bayesian analysis using Markov Chain Monte Carlo (MCMC) method. The MCMC methods have been shown to be easy to implement computationally, the estimates always exist… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 16 references

OpenBUGS Developer Manual, Version 3.1.2, http://www.openbugs.info

A. Thomas
View 13 Excerpts
Highly Influenced

reliaR : A package for some probability distributions. http://cran.rproject.org/web/packages/reliaR/index.html

V. Kumar, U. Ligges
View 5 Excerpts
Highly Influenced

ReliaBUGS User Manual : A subsystem in OpenBUGS for some statistical models, Version 1.0, OpenBUGS 3.2.1, http://openbugs.info/w/Downloads

V. Kumar, U. Ligges, A. Thomas
View 6 Excerpts
Highly Influenced

Development Core Team

W. N. Venables, D. M. Smith
Volume • 2010
View 1 Excerpt

Markov chain Monte Carlo for Bayesian inference

Gustav Zeuner
View 2 Excerpts

The ExponentiatedGumbel distribution with climate application

S. Nadarajah
Environmetrics • 2006

Similar Papers

Loading similar papers…