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/6316/1/14_Samira.pdf
http://journalarticle.ukm.my/6316/
http://www.ukm.my/jsm/
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Institution: Universiti Kebangsaan Malaysia
Language: English
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spelling my-ukm.journal.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/
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
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/6316/1/14_Samira.pdf
http://journalarticle.ukm.my/6316/
http://www.ukm.my/jsm/
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