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, F.A.M., Daud, Isa, Ibrahim, Noor Akma, Daud, J., Azram, M., Usman, M.
Format: Article
Language:English
English
Published: INSInet Publication 2011
Online Access:http://psasir.upm.edu.my/id/eprint/24939/
http://psasir.upm.edu.my/id/eprint/24939/1/Statistical%20process%20control%20for%20failure%20crushing%20time%20data%20using%20competing%20risks%20model.pdf
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author Elfaki, F.A.M.
Daud, Isa
Ibrahim, Noor Akma
Daud, J.
Azram, M.
Usman, M.
author_facet Elfaki, F.A.M.
Daud, Isa
Ibrahim, Noor Akma
Daud, J.
Azram, M.
Usman, M.
author_sort Elfaki, F.A.M.
building UPM Institutional 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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format Article
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institution Universiti Putra Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-15T08:42:36Z
publishDate 2011
publisher INSInet Publication
recordtype eprints
repository_type Digital Repository
spelling upm-249392015-09-10T01:32:11Z http://psasir.upm.edu.my/id/eprint/24939/ Statistical process control for failure crushing time data using competing risks model. Elfaki, F.A.M. Daud, Isa Ibrahim, Noor Akma Daud, J. Azram, M. Usman, M. 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. INSInet Publication 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/24939/1/Statistical%20process%20control%20for%20failure%20crushing%20time%20data%20using%20competing%20risks%20model.pdf 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 http://www.ansinet.com/ English
spellingShingle Elfaki, F.A.M.
Daud, Isa
Ibrahim, Noor Akma
Daud, J.
Azram, M.
Usman, M.
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.
url http://psasir.upm.edu.my/id/eprint/24939/
http://psasir.upm.edu.my/id/eprint/24939/
http://psasir.upm.edu.my/id/eprint/24939/1/Statistical%20process%20control%20for%20failure%20crushing%20time%20data%20using%20competing%20risks%20model.pdf