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

Elfaki, Faiz Ahmed Mohamed and Daoud, Jamal Ibrahim and Azram, Mohammad and Daud, Isa and Ibrahim, N.A. and Usman, Mustofa (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

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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.

Item Type:	Article (Journal)
Additional Information:	4925/3699
Uncontrolled Keywords:	SPC; Competing Risks; Cox’s Model; Reliability; EM algorithm
Subjects:	H Social Sciences > HB Economic Theory Q Science > Q Science (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Science
Depositing User:	Assoc.Prof.Dr Jamal Daoud
Date Deposited:	21 Sep 2011 11:35
Last Modified:	10 Feb 2012 09:44
URI:	http://irep.iium.edu.my/id/eprint/3699

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