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Modeling repairable system failures with repair effect and time dependent covariates.

In this paper we extend a repairable system model that incorporates both time trend and repair history to include a time dependent covariate. We calculated the bias, standard error and RMSE of the parameter estimates of this model at different sample sizes using simulated data. Following that, we st...

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Main Authors: Arasan, Jayanthi, Ehsani, Samira
Format: Article
Language:English
Published: 2011
Online Access:http://psasir.upm.edu.my/id/eprint/25188/
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spelling my.upm.eprints.251882013-07-16T01:54:31Z http://psasir.upm.edu.my/id/eprint/25188/ Modeling repairable system failures with repair effect and time dependent covariates. Arasan, Jayanthi Ehsani, Samira In this paper we extend a repairable system model that incorporates both time trend and repair history to include a time dependent covariate. We calculated the bias, standard error and RMSE of the parameter estimates of this model at different sample sizes using simulated data. Following that, we studied the Wald method of constructing confidence interval estimates for the parameters of this model. Finally the model is fit to real data from the pipeline network failure. 2011 Article PeerReviewed Arasan, Jayanthi and Ehsani, Samira (2011) Modeling repairable system failures with repair effect and time dependent covariates. IEANG International Journal of Applied Mathematics, 41 (3). 218- 222. ISSN 1992-9978 English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description In this paper we extend a repairable system model that incorporates both time trend and repair history to include a time dependent covariate. We calculated the bias, standard error and RMSE of the parameter estimates of this model at different sample sizes using simulated data. Following that, we studied the Wald method of constructing confidence interval estimates for the parameters of this model. Finally the model is fit to real data from the pipeline network failure.
format Article
author Arasan, Jayanthi
Ehsani, Samira
spellingShingle Arasan, Jayanthi
Ehsani, Samira
Modeling repairable system failures with repair effect and time dependent covariates.
author_facet Arasan, Jayanthi
Ehsani, Samira
author_sort Arasan, Jayanthi
title Modeling repairable system failures with repair effect and time dependent covariates.
title_short Modeling repairable system failures with repair effect and time dependent covariates.
title_full Modeling repairable system failures with repair effect and time dependent covariates.
title_fullStr Modeling repairable system failures with repair effect and time dependent covariates.
title_full_unstemmed Modeling repairable system failures with repair effect and time dependent covariates.
title_sort modeling repairable system failures with repair effect and time dependent covariates.
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/25188/
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score 13.18916

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