Bayesian Estimation Based on Progressively Type-II Censored Samples from Compound Rayleigh Distribution

Bayesian Estimation Based on Progressively Type-II Censored Samples from Compound Rayleigh Distribution

This paper considers inference under progressive type-II censoring scheme with a compound Rayleigh failure time distribution. The maximum likelihood (ML) and the Bayes estimators for the two unknown parameters of the compound Rayleigh distribution (CRD) distribution are derived. A Bayesian approach...

Full description

Bibliographic Details
Main Authors: Rashad Mohamed EL-Sagheer, Mohamed Ahsanullah
Format: Article
Language:English
Published: Atlantis Press 2015-06-01
Series:Journal of Statistical Theory and Applications (JSTA)
Subjects:
Compound Rayleigh distribution (CRD); Progressive type-II censoring; Bootstrap methods; Bayesian and non-Bayesian approach; Markov chain Monte Carlo (MCMC); Gibbs and Metropolis sampler
Online Access:https://www.atlantis-press.com/article/23224.pdf

Internet

https://www.atlantis-press.com/article/23224.pdf

Similar Items