Bayesian Reliability Analysis of Marshall and Olkin Model

Mohammed H. AbuJarad (), Athar Ali Khan (), Mundher A. Khaleel (), Eman S. A. AbuJarad (), Ali H. AbuJarad () and Pelumi E. Oguntunde ()
Additional contact information
Mohammed H. AbuJarad: AMU
Athar Ali Khan: AMU
Mundher A. Khaleel: University of Tikrit
Eman S. A. AbuJarad: AMU
Ali H. AbuJarad: Gaza University
Pelumi E. Oguntunde: Covenant University

Annals of Data Science, 2020, vol. 7, issue 3, No 7, 489 pages

Abstract: Abstract In this paper, an endeavor has been made to fit three distributions Marshall–Olkin with exponential distributions, Marshall–Olkin with exponentiated exponential distributions and Marshall–Olkin with exponentiated extension distribution keeping in mind the end goal to actualize Bayesian techniques to examine visualization of prognosis of women with breast cancer and demonstrate through utilizing Stan. Stan is an abnormal model dialect for Bayesian displaying and deduction. This model applies to a genuine survival controlled information with the goal that every one of the ideas and calculations will be around similar information. Stan code has been created and enhanced to actualize a censored system all through utilizing Stan technique. Moreover, parallel simulation tools are also implemented and additionally actualized with a broad utilization of rstan.

Keywords: Marshall–Olkin with exponential; Marshall–Olkin with exponentiated exponential; Marshall–Olkin with exponentiated extension; Posterior; Simulation; rstan; Bayesian inference; R; HMC (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s40745-019-00234-3

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