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

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...

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Main Authors: Elfaki, Faiz Ahmed Mohamed, Daoud, Jamal Ibrahim, Azram, Mohammad, Daud, Isa, Ibrahim, N.A., Usman, Mustofa
Format: Article
Language:English
Published: INSI Publications 2011
Subjects:
Online Access:http://irep.iium.edu.my/3699/
http://irep.iium.edu.my/3699/1/Jamal-12.pdf
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author Elfaki, Faiz Ahmed Mohamed
Daoud, Jamal Ibrahim
Azram, Mohammad
Daud, Isa
Ibrahim, N.A.
Usman, Mustofa
author_facet Elfaki, Faiz Ahmed Mohamed
Daoud, Jamal Ibrahim
Azram, Mohammad
Daud, Isa
Ibrahim, N.A.
Usman, Mustofa
author_sort Elfaki, Faiz Ahmed Mohamed
building IIUM Repository
collection Online Access
description 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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institution International Islamic University Malaysia
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publishDate 2011
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spelling iium-36992012-02-10T01:44:03Z http://irep.iium.edu.my/3699/ Statistical process control for failure crushing time data using competing risks model Elfaki, Faiz Ahmed Mohamed Daoud, Jamal Ibrahim Azram, Mohammad Daud, Isa Ibrahim, N.A. Usman, Mustofa HB Economic Theory Q Science (General) 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. INSI Publications 2011 Article PeerReviewed application/pdf en http://irep.iium.edu.my/3699/1/Jamal-12.pdf 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 http://www.insipub.com/online.html
spellingShingle HB Economic Theory
Q Science (General)
Elfaki, Faiz Ahmed Mohamed
Daoud, Jamal Ibrahim
Azram, Mohammad
Daud, Isa
Ibrahim, N.A.
Usman, Mustofa
Statistical process control for failure crushing time data using competing risks model
title Statistical process control for failure crushing time data using competing risks model
title_full Statistical process control for failure crushing time data using competing risks model
title_fullStr Statistical process control for failure crushing time data using competing risks model
title_full_unstemmed Statistical process control for failure crushing time data using competing risks model
title_short Statistical process control for failure crushing time data using competing risks model
title_sort statistical process control for failure crushing time data using competing risks model
topic HB Economic Theory
Q Science (General)
url http://irep.iium.edu.my/3699/
http://irep.iium.edu.my/3699/
http://irep.iium.edu.my/3699/1/Jamal-12.pdf