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.

Getting started

Package details

AuthorMahdi Teimouri
MaintainerMahdi Teimouri <teimouri@aut.ac.ir>
LicenseGPL (>= 2)
Version1.1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bibs")

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bibs documentation built on Jan. 27, 2022, 5:08 p.m.