Bayesian Statistics: A Review and a Reminder for the Practicing Reliability Engineer
Methodology
2024-06-10 v2
Abstract
This paper introduces and reviews some of the principles and methods used in Bayesian reliability. It specifically discusses methods used in the analysis of success/no-success data and then reminds the reader of a simple Monte Carlo algorithm that can be used to calculate the posterior distribution of a system's reliability. This algorithm is especially useful when a system's reliability is modeled through the reliability of its subcomponents, yet only system-level data is available.
Cite
@article{arxiv.2406.02751,
title = {Bayesian Statistics: A Review and a Reminder for the Practicing Reliability Engineer},
author = {Carsten H. Botts},
journal= {arXiv preprint arXiv:2406.02751},
year = {2024}
}