scholarly journals On Bayesian Estimation of System Reliability in Stress – Strength Model Based on Generalized Inverse Rayleigh Distribution

2020 ◽  
Vol 871 ◽  
pp. 012053
Author(s):  
Iman Ghaji Jebur ◽  
Bayda Atiya Kalaf ◽  
Abbas N. Salman
Keyword(s):  
Bayesian Estimation ◽  
System Reliability ◽  
Generalized Inverse ◽  
Rayleigh Distribution ◽  
Strength Model ◽  
Model Based

Bayesian estimation of generalized Gamma mixture model based on variational EM algorithm

2019 ◽  
Vol 87 ◽  
pp. 269-284 ◽  
Author(s):  
Chi Liu ◽  
Heng-Chao Li ◽  
Kun Fu ◽  
Fan Zhang ◽  
Mihai Datcu ◽  
...  
Keyword(s):  
Em Algorithm ◽  
Bayesian Estimation ◽  
Mixture Model ◽  
Model Based ◽  
Generalized Gamma ◽  
Variational Em ◽  
Variational Em Algorithm

THE JOINT PREDICTIVE-POSTERIOR METHOD IN THE BAYESIAN ANALYSIS OF STRESS-STRENGTH RELIABILITY

2007 ◽  
Vol 14 (01) ◽  
pp. 29-47 ◽  
Author(s):  
T. PHAM-GIA ◽  
N. TURKKAN
Keyword(s):  
Quality Control ◽  
Bayesian Analysis ◽  
Control Problem ◽  
System Reliability ◽  
Posterior Approach ◽  
Highway Bridge ◽  
Engineering System ◽  
Strength Model ◽  
Combined Approach ◽  
Engineering Applications

The joint predictive-posterior approach to the study of the reliability of an engineering system, under a stress-strength model, is presented in this article. This new combined approach is original, is supported by charts and graphs and can be quite useful since it allows the realistic forecasting of system reliability, with known credibility levels, ahead of real experimentation and testing results. In this article, it is concretely illustrated by several engineering applications related to a highway bridge study and a quality control problem.

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