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Bayes Inference in Constant Partially Accelerated Life Tests for the Generalized Exponential Distribution with Progressive Censoring
Authors:Z. F. Jaheen  H. M. Moustafa  G. H. Abd El-Monem
Affiliation:1. Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia;2. Department of Mathematics, Faculty of Science, Assiut University, Assiut, Egypt
Abstract: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.
Keywords:Bayesian estimation  Constant partially accelerated life tests  Generalized exponential distribution  Maximum likelihood estimation  Monte Carlo simulation  Progressive Type-II censoring
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