A Bayesian approach to competing risks model with masked causes of failure and incomplete failure times

Yousif, Yosra and Elfaki, Faiz Ahmed Mohamed and Hrairi, Meftah and Adegboye, Oyelola (2020) A Bayesian approach to competing risks model with masked causes of failure and incomplete failure times. Mathematical Problems in Engineering, 2020 (Article ID 8248640). pp. 1-7. ISSN 1024-123X E-ISSN 1563-5147

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Abstract

We present a Bayesian approach for analysis of competing risks survival data with masked causes of failure. This approach is often used to assess the impact of covariates on the hazard functions when the failure time is exactly observed for some subjects but only known to lie in an interval of time for the remaining subjects. Such data, known as partly interval-censored data, usually result from periodic inspection in production engineering. In this study, Dirichlet and Gamma processes are assumed as priors for masking probabilities and baseline hazards. Markov chain Monte Carlo (MCMC) technique is employed for the implementation of the Bayesian approach. -e effectiveness of the proposed approach is illustrated with simulated and production engineering applications.

Item Type:	Article (Journal)
Additional Information:	4980/80574
Uncontrolled Keywords:	Bayesian networks, Markov chains, Monte Carlo methods, Production, Risk assessment
Subjects:	Q Science > QA Mathematics > QA276 Mathematical Statistics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechanical Engineering Kulliyyah of Engineering
Depositing User:	Prof. Dr. Meftah Hrairi
Date Deposited:	29 May 2020 18:40
Last Modified:	29 May 2020 18:40
URI:	http://irep.iium.edu.my/id/eprint/80574

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