Bayesian Survival Analysis of Generalized DUS Exponential Distribution

被引：1
|
作者：
AbuJarad, Mohammed H. [1 ]
Khan, Athar Ali [1 ]
AbuJarad, Eman S. A. [2 ]
机构：
[1] Aligarh Muslim Univ, Dept Stat & Operat Res, Aligarh 202002, Uttar Pradesh, India
[2] Aligarh Muslim Univ, Dept Math, Aligarh 202002, Uttar Pradesh, India
来源：
AUSTRIAN JOURNAL OF STATISTICS | 2020年 / 49卷 / 05期
关键词：
GDUSED; LaplaceApproximation; LaplacesDemon; posterior; survival function; hazard function; simulation; Bayesian inference; JAGS; R;
D O I：
10.17713/ajs.v49i5.927
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
Modeling and analysis of survival rate has proved a fruitful aspect of statistical work in many fields of science. This paper aims at using Bayesian approach to fit generalized DUS Exponential distribution (GDUSED). Kumar, Singh, and Singh (2015) proposed a renovation and called it DUS transformation. A Bayesian approach has been assumed to fit this model as a survival model. A real survival data set is utilized for illustration. Implementation is done using LaplaceApproximation and JAGS. Some graphical representations related to the probability density function and hazard function of the (GDUSED) are provided. LaplaceApproximation and JAGS codes have been provided to implement censoring mechanism using both optimization and simulation tools.
引用
收藏
页码：80 / 95
页数：16
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