Competing risks for reliability analysis using Cox’s model

Mohamed Elfaki, Faiz Ahmed and Daud, Isa and Ibrahim, Nor Azowa and Abdullah, M. Y. and Usman, Mustofa (2007) Competing risks for reliability analysis using Cox’s model. Engineering Computations:International Journal for Computer-Aided Engineering and Software, 24 (4). pp. 373-383. ISSN 0264-4401

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Purpose – Cox’s model with Weibull distribution and Cox’s with exponential distribution are the most important models in reliability analysis. This paper seeks to show that, with a large sample size based on expectation maximization (EM) algorithm, both models give similar results. Design/methodology/approach – The parameters of the models have been estimated by method of maximum likelihood based on EM algorithm. The objective of this analysis is to fit the modification of Cox’s model with Weibull distribution and Cox’s with exponential distribution, examine its performance and compare their results with Crowder et al. Findings – A simulation study indicates that the parametric Cox’s model with Weibull distribution gives similar results to Cox’s with exponential distribution, especially for a large sample size. Also, the modification of the two models showed better results compared with Crowder et al., especially for the second causes of failure. Originality/value – A modification of the two competing risk models has mostly been applied in failure time data and simulation data. The results of the simulation study indicate that the Weibull and exponential are suitable for Cox’s model as they are easy to use and it can achieve even higher accuracy compared with other distribution models.

Item Type:Article
Keyword:Modelling, Algorithmic languages, Exponential distribution, Reliability management
Faculty or Institute:Faculty of Science
Publisher:Emerald Group Publishing Limited
DOI Number:10.1108/02644400710748698
ID Code:7664
Deposited By: Najwani Amir Sariffudin
Deposited On:10 Aug 2010 06:16
Last Modified:10 Aug 2010 06:24

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