Modeling repairable system failure with repair history and covariates

In this paper, we extended a repairable system model under general repair that is based on repair history, to incorporate covariates. We calculated the bias, standard error and RMSE of the parameter estimates of this model at different sample sizes using simulated data. We applied the model to a rea...

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Main Authors:	Samira Ehsani, Jayanthi Arasan, Noor Akma Ibrahim
Format:	Article
Language:	English
Published:	Universiti Kebangsaan Malaysia 2013
Online Access:	http://journalarticle.ukm.my/6316/ http://journalarticle.ukm.my/6316/ http://journalarticle.ukm.my/6316/1/14_Samira.pdf

id	ukm-6316
recordtype	eprints
spelling	ukm-63162016-12-14T06:40:50Z http://journalarticle.ukm.my/6316/ Modeling repairable system failure with repair history and covariates Samira Ehsani, Jayanthi Arasan, Noor Akma Ibrahim, In this paper, we extended a repairable system model under general repair that is based on repair history, to incorporate covariates. We calculated the bias, standard error and RMSE of the parameter estimates of this model at different sample sizes using simulated data. We applied the model to a real demonstration data and tested for existence of time trend, repair and covariate effects. Following that we also conducted a coverage probability study on the Wald confidence interval estimates. Finally we conducted hypothesis testing for the parameters of the model.The results indicated that the estimation procedure is working well for the proposed model but the Wald interval should be applied with much caution. Universiti Kebangsaan Malaysia 2013-07 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/6316/1/14_Samira.pdf Samira Ehsani, and Jayanthi Arasan, and Noor Akma Ibrahim, (2013) Modeling repairable system failure with repair history and covariates. Sains Malaysiana, 42 (7). pp. 981-987. ISSN 0126-6039 http://www.ukm.my/jsm/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	In this paper, we extended a repairable system model under general repair that is based on repair history, to incorporate covariates. We calculated the bias, standard error and RMSE of the parameter estimates of this model at different sample sizes using simulated data. We applied the model to a real demonstration data and tested for existence of time trend, repair and covariate effects. Following that we also conducted a coverage probability study on the Wald confidence interval estimates. Finally we conducted hypothesis testing for the parameters of the model.The results indicated that the estimation procedure is working well for the proposed model but the Wald interval should be applied with much caution.
format	Article
author	Samira Ehsani, Jayanthi Arasan, Noor Akma Ibrahim,
spellingShingle	Samira Ehsani, Jayanthi Arasan, Noor Akma Ibrahim, Modeling repairable system failure with repair history and covariates
author_facet	Samira Ehsani, Jayanthi Arasan, Noor Akma Ibrahim,
author_sort	Samira Ehsani,
title	Modeling repairable system failure with repair history and covariates
title_short	Modeling repairable system failure with repair history and covariates
title_full	Modeling repairable system failure with repair history and covariates
title_fullStr	Modeling repairable system failure with repair history and covariates
title_full_unstemmed	Modeling repairable system failure with repair history and covariates
title_sort	modeling repairable system failure with repair history and covariates
publisher	Universiti Kebangsaan Malaysia
publishDate	2013
url	http://journalarticle.ukm.my/6316/ http://journalarticle.ukm.my/6316/ http://journalarticle.ukm.my/6316/1/14_Samira.pdf
first_indexed	2023-09-18T19:46:34Z
last_indexed	2023-09-18T19:46:34Z
_version_	1777405940044136448

Modeling repairable system failure with repair history and covariates

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