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/
http://irep.iium.edu.my/3699/1/Jamal-12.pdf
id iium-3699
recordtype eprints
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
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic HB Economic Theory
Q Science (General)
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
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
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