Bayesian analysis of generalized log-Burr family with R

被引：5

作者：

Akhtar, Md Tanwir ^{[1
]}

Khan, Athar Ali ^{[1
]}

机构：

[1] Aligarh Muslim Univ, Dept Stat & Operat Res, Aligarh 202002, Uttar Pradesh, India

来源：

SPRINGERPLUS | 2014年 / 3卷

关键词：

Bayesian; Log-Burr; Laplace approximation; Simulation; Laplace's Demon; Posterior density;

D O I：

10.1186/2193-1801-3-185

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：10

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