Improved Bayesian Inferences for Right-Censored Birnbaum–Saunders Data
This work focuses on making Bayesian inferences for the two-parameter Birnbaum–Saunders (BS) distribution in the presence of right-censored data. A flexible Gibbs sampler is employed to handle the censored BS data in this Bayesian work that relies on Jeffrey’s and Achcar’s reference priors. A compre...
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2024-03-01
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| Col·lecció: | Mathematics |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2227-7390/12/6/874 |
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