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
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author Akhtar, Md Tanwir
Khan, Athar Ali
author_facet Akhtar, Md Tanwir
Khan, Athar Ali
author_sort Akhtar, Md Tanwir
collection PubMed
description 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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spelling pubmed-40229702014-05-16 Bayesian analysis of generalized log-Burr family with R Akhtar, Md Tanwir Khan, Athar Ali Springerplus Research 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. Springer International Publishing 2014-04-10 /pmc/articles/PMC4022970/ /pubmed/24839586 http://dx.doi.org/10.1186/2193-1801-3-185 Text en © Akhtar and Khan; licensee Springer. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research
Akhtar, Md Tanwir
Khan, Athar Ali
Bayesian analysis of generalized log-Burr family with R
title Bayesian analysis of generalized log-Burr family with R
title_full Bayesian analysis of generalized log-Burr family with R
title_fullStr Bayesian analysis of generalized log-Burr family with R
title_full_unstemmed Bayesian analysis of generalized log-Burr family with R
title_short Bayesian analysis of generalized log-Burr family with R
title_sort bayesian analysis of generalized log-burr family with r
topic Research
url 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
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