Bayesian Survival Analysis of Generalized DUS Exponential Distribution
Modeling and analysis of survival rate has proved a fruitful aspect of statistical work in many fields of science. This paper aims at using a Bayesian approach to tting generalized DUS Exponential distribution (GDUSED). Kumar et al. (2015) proposed a renovation and called it DUS transformation. A B...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Austrian Statistical Society
2020-08-01
|
Series: | Austrian Journal of Statistics |
Online Access: | http://www.ajs.or.at/index.php/ajs/article/view/927 |
id |
doaj-85f5e7dc172f4862894ee6a1edebf894 |
---|---|
record_format |
Article |
spelling |
doaj-85f5e7dc172f4862894ee6a1edebf8942021-04-22T12:31:50ZengAustrian Statistical SocietyAustrian Journal of Statistics1026-597X2020-08-0149510.17713/ajs.v49i5.927Bayesian Survival Analysis of Generalized DUS Exponential DistributionMohammed H AbuJarad0Athar Ali KhanEman S A AbuJaradAligarh Muslim University Modeling and analysis of survival rate has proved a fruitful aspect of statistical work in many fields of science. This paper aims at using a Bayesian approach to tting generalized DUS Exponential distribution (GDUSED). Kumar et al. (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 used 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 a censoring mechanism using both optimization and simulation tools. http://www.ajs.or.at/index.php/ajs/article/view/927 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mohammed H AbuJarad Athar Ali Khan Eman S A AbuJarad |
spellingShingle |
Mohammed H AbuJarad Athar Ali Khan Eman S A AbuJarad Bayesian Survival Analysis of Generalized DUS Exponential Distribution Austrian Journal of Statistics |
author_facet |
Mohammed H AbuJarad Athar Ali Khan Eman S A AbuJarad |
author_sort |
Mohammed H AbuJarad |
title |
Bayesian Survival Analysis of Generalized DUS Exponential Distribution |
title_short |
Bayesian Survival Analysis of Generalized DUS Exponential Distribution |
title_full |
Bayesian Survival Analysis of Generalized DUS Exponential Distribution |
title_fullStr |
Bayesian Survival Analysis of Generalized DUS Exponential Distribution |
title_full_unstemmed |
Bayesian Survival Analysis of Generalized DUS Exponential Distribution |
title_sort |
bayesian survival analysis of generalized dus exponential distribution |
publisher |
Austrian Statistical Society |
series |
Austrian Journal of Statistics |
issn |
1026-597X |
publishDate |
2020-08-01 |
description |
Modeling and analysis of survival rate has proved a fruitful aspect of statistical work in many fields of science. This paper aims at using a Bayesian approach to tting generalized DUS Exponential distribution (GDUSED). Kumar et al. (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 used 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 a censoring mechanism using both optimization and simulation tools.
|
url |
http://www.ajs.or.at/index.php/ajs/article/view/927 |
work_keys_str_mv |
AT mohammedhabujarad bayesiansurvivalanalysisofgeneralizeddusexponentialdistribution AT atharalikhan bayesiansurvivalanalysisofgeneralizeddusexponentialdistribution AT emansaabujarad bayesiansurvivalanalysisofgeneralizeddusexponentialdistribution |
_version_ |
1721514580528594944 |