Bayesian Statistics: A Review and a Reminder for the Practicing Reliability Engineer
Fuente:
arXiv
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866913381229789184 |
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| author | Botts, Carsten H. |
| author_facet | Botts, Carsten H. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_02751 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Bayesian Statistics: A Review and a Reminder for the Practicing Reliability Engineer Botts, Carsten H. Methodology 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. |
| title | Bayesian Statistics: A Review and a Reminder for the Practicing Reliability Engineer |
| topic | Methodology |
| url | https://arxiv.org/abs/2406.02751 |