Bayesian Survival Analysis of Type I General Exponential Distributions

Mohammed H. AbuJarad (), Eman S. A. AbuJarad () and Athar Ali Khan ()
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Mohammed H. AbuJarad: AMU
Eman S. A. AbuJarad: AMU
Athar Ali Khan: AMU

Annals of Data Science, 2022, vol. 9, issue 2, No 10, 347-367

Abstract: Abstract This article aims at generalizing two distribution by means of, exponentiated exponential and Weibull distribution. The researchers have employed three and four parameters life model called the Type I General Exponential exponentiated exponential distribution and Type I General Exponential Weibull distribution. Survival and hazard rate functions were provided for these two models. To fit these models into survival and hazard rate functions, we adopted the Bayesian approach. For illustration, a real survival data set has been employed. Application is carried out by R and Stan. Finally,a comparison between these two models is made by using loo package to find the best model and simulation.

Keywords: Posterior; Simulation; Loo; RStan; Bayesian Inference; WAIC; R; HMC (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s40745-019-00228-1

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