Bayesian Methods for Step-Stress Accelerated Test under Gamma Distribution with a Useful Reparametrization and an Industrial Data Application

This paper presents a multiple step-stress accelerated life test using type II censoring. Assuming that the lifetimes of the test item follow the gamma distribution, the maximum likelihood estimation and Bayesian approaches are used to estimate the distribution parameters. In the Bayesian approach,...

詳細記述

書誌詳細
主要な著者: Hassan S. Bakouch, Fernando A. Moala, Shuhrah Alghamdi, Olayan Albalawi
フォーマット: 論文
言語:English
出版事項: MDPI AG 2024-09-01
シリーズ:Mathematics
主題:
オンライン・アクセス:https://www.mdpi.com/2227-7390/12/17/2747