Bayesian Reliability Analysis of Marshall and Olkin Model

被引:0
|
作者
AbuJarad M.H. [1 ]
Khan A.A. [1 ]
Khaleel M.A. [4 ]
AbuJarad E.S.A. [2 ]
AbuJarad A.H. [3 ]
Oguntunde P.E. [5 ]
机构
[1] Department of Statistics and Operations Research, AMU, Aligarh
[2] Department of Mathematics, AMU, Aligarh
[3] Gaza University, Gaza
[4] Department of Mathematics, Faculty of Computer Science and Mathematics, University of Tikrit, Tikrīt
[5] Department of Mathematics, Covenant University, Ota
关键词
Bayesian inference; HMC; Marshall–Olkin with exponential; Marshall–Olkin with exponentiated exponential; Marshall–Olkin with exponentiated extension; Posterior; R; rstan; Simulation;
D O I
10.1007/s40745-019-00234-3
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摘要
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. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
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页码:461 / 489
页数:28
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