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Statistical process control for failure crushing time data using competing risks model.


Citation

Elfaki, F.A.M. and Daud, Isa and Ibrahim, Noor Akma and Daud, J. and Azram, M. and Usman, M. (2011) Statistical process control for failure crushing time data using competing risks model. Australian Journal of Basic and Applied Sciences, 5 (3). pp. 28-37. ISSN 1991-8178

Abstract

This paper describes a Statistical Process Control (SPC) for failure crushing time data using competing risks model. The model is based on the widely known proportional hazard regression model for a variety of censoring. A competing risks model identifies the set of possible failed components given the true cause of failure. EM algorithm method is used to estimate the parameter of the model. The results of this study show that, the competing risks model performs well for SPC using SAS software.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Science
Publisher: INSInet Publication
Keywords: SPC; Competing Risks; Cox's Model; Reliability; EM algorithm.
Depositing User: Nur Farahin Ramli
Date Deposited: 16 Aug 2013 04:05
Last Modified: 10 Sep 2015 01:32
URI: http://psasir.upm.edu.my/id/eprint/24939
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