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...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2011
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/25188/ |
| _version_ | 1848845241152438272 |
|---|---|
| author | Arasan, Jayanthi Ehsani, Samira |
| author_facet | Arasan, Jayanthi Ehsani, Samira |
| author_sort | Arasan, Jayanthi |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T08:43:41Z |
| format | Article |
| id | upm-25188 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T08:43:41Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| spellingShingle | Arasan, Jayanthi Ehsani, Samira Modeling repairable system failures with repair effect and time dependent covariates. |
| title | 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_short | Modeling repairable system failures with repair effect and time dependent covariates. |
| title_sort | modeling repairable system failures with repair effect and time dependent covariates. |
| url | http://psasir.upm.edu.my/id/eprint/25188/ |