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

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,...

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Bibliografiska uppgifter
Huvudupphovsmän:	Hassan S. Bakouch, Fernando A. Moala, Shuhrah Alghamdi, Olayan Albalawi
Materialtyp:	Artikel
Språk:	English
Publicerad:	MDPI AG 2024-09-01
Serie:	Mathematics
Ämnen:	step-stress accelerated lifetime testing Bayesian analysis type II censoring reparametrization gamma distribution Simulation
Länkar:	https://www.mdpi.com/2227-7390/12/17/2747

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