Bayesian parameter estimation with prior weighting in ALT model
Résumé
This paper provides an overview of the application of Bayesian inference to accelerated life testing (ALT) models for the concrete case of estimation by Maximum of Aposteriori (MAP) method in the case of constant stress levels. It studies the Bayesian inference over the accelerated life model as presented in [1]. It suites, integrates and generalizes the particular cases presented in [2] and [3]. Towards the end, weighting of the prior information according to data is integrated. The paper also illustrates an experimental example.
Mots clés
Paper technology
parameter estimation
reliability theory
Stress
Accelerated life testing
accelerated testing
Acceleration
ALT model
Bayes methods
Bayesian inference
Bayesian methods
Bayesian parameter estimation
Concrete
constant stress levels
Context modeling
Life estimation
life testing
Lifetime estimation
maximum a posteriori method
maximum likelihood estimation