Citation
Arasan, Jayanthi
(2009)
Interval estimation for parameters of a bivariate time varying covariate model.
Pertanika Journal of Science & Technology, 17 (2).
pp. 313-323.
ISSN 0128-7680; ESSN: 2231-8526
Abstract
This paper investigates several asymptotic confidence interval estimates, based on the Wald, likelihood ratio and the score statistics for the parameters of a parallel two-component system model, with dependent failure and a time varying covariate, when data is censored. This model is an extension of the bivariate exponential model. The procedures are investigated via a coverage probability study using the simulated data. The results clearly indicate that the interval estimates, based on the likelihood ratio method, work better than any of the other two methods when dealing with the censored data.
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Official URL or Download Paper: http://www.pertanika.upm.edu.my/view_archives.php?...
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Science |
| Publisher: | Universiti Pertanian Malaysia Press |
| Keywords: | Bivariate; Time varying; Censoring; Covariates; Asymptotic; Wald; Parallel; Score |
| Depositing User: | Nurul Ainie Mokhtar |
| Date Deposited: | 31 Jul 2015 14:11 |
| Last Modified: | 31 Jul 2015 14:11 |
| URI: | http://psasir.upm.edu.my/id/eprint/15280 |
| Statistic Details: | View Download Statistic |
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