Inference on Partially Observed Competing Risks Models Using Generalized Type-II Hybrid Censoring Scheme
This article investigates inference in a competing risks model where failure causes are partially observed, assuming latent failure times follow Weibull distributions. Inference is derived under a generalized type-II hybrid censoring scheme. The maximum likelihood estimators for model parameters an...
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| Format: | Article |
| Language: | English |
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Austrian Statistical Society
2025-05-01
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| Series: | Austrian Journal of Statistics |
| Online Access: | https://www.ajs.or.at/index.php/ajs/article/view/2049 |
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| _version_ | 1849694386460295168 |
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| author | G. S. Deepthy K. K. Anakha Sebastian Nicy |
| author_facet | G. S. Deepthy K. K. Anakha Sebastian Nicy |
| author_sort | G. S. Deepthy |
| collection | DOAJ |
| description |
This article investigates inference in a competing risks model where failure causes are partially observed, assuming latent failure times follow Weibull distributions. Inference is derived under a generalized type-II hybrid censoring scheme. The maximum likelihood estimators for model parameters and their associated confidence intervals are discussed. Also, we compute Bayes estimators under both informative and non-informative priors, along with their credible intervals. The performance of all estimators is evaluated through Monte Carlo simulations. Finally, for illustrative purposes, a real-world case is explored.
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| format | Article |
| id | doaj-art-72eb456ec0ec480fa2d220c16bfb8326 |
| institution | DOAJ |
| issn | 1026-597X |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Austrian Statistical Society |
| record_format | Article |
| series | Austrian Journal of Statistics |
| spelling | doaj-art-72eb456ec0ec480fa2d220c16bfb83262025-08-20T03:20:05ZengAustrian Statistical SocietyAustrian Journal of Statistics1026-597X2025-05-0154410.17713/ajs.v54i4.2049Inference on Partially Observed Competing Risks Models Using Generalized Type-II Hybrid Censoring SchemeG. S. Deepthy0K. K. AnakhaSebastian NicyResearch Scholar This article investigates inference in a competing risks model where failure causes are partially observed, assuming latent failure times follow Weibull distributions. Inference is derived under a generalized type-II hybrid censoring scheme. The maximum likelihood estimators for model parameters and their associated confidence intervals are discussed. Also, we compute Bayes estimators under both informative and non-informative priors, along with their credible intervals. The performance of all estimators is evaluated through Monte Carlo simulations. Finally, for illustrative purposes, a real-world case is explored. https://www.ajs.or.at/index.php/ajs/article/view/2049 |
| spellingShingle | G. S. Deepthy K. K. Anakha Sebastian Nicy Inference on Partially Observed Competing Risks Models Using Generalized Type-II Hybrid Censoring Scheme Austrian Journal of Statistics |
| title | Inference on Partially Observed Competing Risks Models Using Generalized Type-II Hybrid Censoring Scheme |
| title_full | Inference on Partially Observed Competing Risks Models Using Generalized Type-II Hybrid Censoring Scheme |
| title_fullStr | Inference on Partially Observed Competing Risks Models Using Generalized Type-II Hybrid Censoring Scheme |
| title_full_unstemmed | Inference on Partially Observed Competing Risks Models Using Generalized Type-II Hybrid Censoring Scheme |
| title_short | Inference on Partially Observed Competing Risks Models Using Generalized Type-II Hybrid Censoring Scheme |
| title_sort | inference on partially observed competing risks models using generalized type ii hybrid censoring scheme |
| url | https://www.ajs.or.at/index.php/ajs/article/view/2049 |
| work_keys_str_mv | AT gsdeepthy inferenceonpartiallyobservedcompetingrisksmodelsusinggeneralizedtypeiihybridcensoringscheme AT kkanakha inferenceonpartiallyobservedcompetingrisksmodelsusinggeneralizedtypeiihybridcensoringscheme AT sebastiannicy inferenceonpartiallyobservedcompetingrisksmodelsusinggeneralizedtypeiihybridcensoringscheme |