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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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 |
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International Islamic University Malaysia |
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Online Access |
language |
English |
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HB Economic Theory Q Science (General) |
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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 |
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. |
format |
Article |
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 |
title |
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_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_sort |
statistical process control for failure crushing time data using competing risks model |
publisher |
INSI Publications |
publishDate |
2011 |
url |
http://irep.iium.edu.my/3699/ http://irep.iium.edu.my/3699/ http://irep.iium.edu.my/3699/1/Jamal-12.pdf |
first_indexed |
2023-09-18T20:11:37Z |
last_indexed |
2023-09-18T20:11:37Z |
_version_ |
1777407516148236288 |