Bayesian analysis of generalized log-Burr family with R.
Log-Burr distribution is a generalization of logistic and extreme value distributions, which are important reliability models. In this paper, Bayesian approach is used to model reliability data for log-Burr model using analytic and simulation tools. Laplace approximation is implemented for approximating posterior densities of the parameters. Moreover, parallel simulation tools are also implemented using 'LaplacesDemon' package of R.
Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, 202002 India.
Md Tanwir
MT
Akhtar
Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, 202002 India.
Athar Ali
AA
Khan
Bayesian; Laplace approximation; Laplace’s Demon; Log-Burr; Posterior density; Simulation