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 approxima...

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Detalles Bibliográficos
Autores principales: Akhtar, Md Tanwir, Khan, Athar Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022970/
https://www.ncbi.nlm.nih.gov/pubmed/24839586
http://dx.doi.org/10.1186/2193-1801-3-185
Descripción
Sumario: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.

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