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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Universiti Kebangsaan Malaysia
2013
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| Online Access: | http://journalarticle.ukm.my/6316/ http://journalarticle.ukm.my/6316/1/14_Samira.pdf |
| _version_ | 1848811114663510016 |
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| author | Samira Ehsani, Jayanthi Arasan, Noor Akma Ibrahim, |
| author_facet | Samira Ehsani, Jayanthi Arasan, Noor Akma Ibrahim, |
| author_sort | Samira Ehsani, |
| building | UKM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T23:41:15Z |
| format | Article |
| id | oai:generic.eprints.org:6316 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T23:41:15Z |
| publishDate | 2013 |
| publisher | Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org: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/ |
| spellingShingle | Samira Ehsani, Jayanthi Arasan, Noor Akma Ibrahim, Modeling repairable system failure with repair history and covariates |
| title | 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_short | Modeling repairable system failure with repair history and covariates |
| title_sort | modeling repairable system failure with repair history and covariates |
| url | http://journalarticle.ukm.my/6316/ http://journalarticle.ukm.my/6316/ http://journalarticle.ukm.my/6316/1/14_Samira.pdf |