Sign in
Back
Bayes Inference in Constant Partially Accelerated Life Tests for the Generalized Exponential Distribution with Progressive Censoring
Journal article   Peer reviewed

Bayes Inference in Constant Partially Accelerated Life Tests for the Generalized Exponential Distribution with Progressive Censoring

Z. F. Jaheen, H. M. Moustafa and G. H. Abd El-Monem
Communications in statistics. Theory and methods, Vol.43(14), pp.2973-2988
18/07/2014
DOI: https://doi.org/10.1080/03610926.2012.687068

Abstract

Bayesian estimation Constant partially accelerated life tests Generalized exponential distribution Maximum likelihood estimation Monte Carlo simulation Progressive Type-II censoring
In this paper, the problem of constant partially accelerated life tests when the lifetime follows the generalized exponential distribution is considered. Based on progressive type-II censoring scheme, the maximum likelihood and Bayes methods of estimation are used for estimating the distribution parameters and acceleration factor. A Monte Carlo simulation study is carried out to examine the performance of the obtained estimates.

Metrics

1 Record Views

Details