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Activity Number:
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360
- Contributed Poster Presentations: Section on Bayesian Statistical Science
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2020 : 10:00 AM to 2:00 PM
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Sponsor:
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Section on Bayesian Statistical Science
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Abstract #313276
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Title:
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Accelerated Life Testing: A Bayesian Eyring-Log-Normal Model
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Author(s):
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Neill Smit* and Lizanne Raubenheimer
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Companies:
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North-West University and North-West University
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Keywords:
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Accelerated life testing;
Bayes;
Generalised Eyring model;
Log-normal distribution;
Markov chain Monte Carlo
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Abstract:
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In this paper, a Bayesian approach to an accelerated life testing model with two stress variables is presented. Lifetimes are assumed to follow a log-normal distribution and the generalised Eyring model is used as the time transformation function. This model allows for the use of one thermal stressor and one non-thermal stressor. Due to the mathematically intractable posteriors, Markov chain Monte Carlo methods are utilised to obtain posterior samples to base inference on.
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Authors who are presenting talks have a * after their name.
