bibs: Bayesian Inference for the Birnbaum-Saunders Distribution
Developed for the following tasks. 1- Simulating and computing the maximum likelihood
estimator for the Birnbaum-Saunders (BS) distribution, 2- Computing the Bayesian estimator for
the parameters of the BS distribution based on reference prior proposed by Xu and Tang (2010)
<doi:10.1016/j.csda.2009.08.004> and conjugate prior. 3- Computing the Bayesian estimator for
the BS distribution based on conjugate prior. 4- Computing the Bayesian estimator for the BS
distribution based on Jeffrey prior given by Achcar (1993) <doi:10.1016/0167-9473(93)90170-X>
5- Computing the Bayesian estimator for the BS distribution under progressive type-II censoring
scheme.
| Version: |
1.1.1 |
| Depends: |
R (≥ 3.1.0) |
| Imports: |
GIGrvg |
| Published: |
2022-01-27 |
| Author: |
Mahdi Teimouri |
| Maintainer: |
Mahdi Teimouri <teimouri at aut.ac.ir> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
bibs results |
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