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- W4387039603 abstract "In addressing the specific challenges associated with the small sample size and extended lifespan of critical equipment, this paper proposes a small sample reliability assessment method grounded in Bayesian theory. The underlying principle of the Bayesian method is elucidated, along with the processes for acquiring the prior distribution and determining the posterior distribution. Building on this framework, an evaluation process for small sub-samples based on Bayesian theory is introduced. The model is then applied to the life test data of a particular product. The findings demonstrate that the reliability assessment leveraging Bayesian methodology can effectively enhance the reliability of small sample products upon the incorporation of prior information. This approach ameliorates issues commonly encountered in classical methods, such as overly low assessment results, stark inconsistencies with empirical understanding, and inaccuracies in evaluation." @default.
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- W4387039603 date "2023-01-01" @default.
- W4387039603 modified "2023-09-27" @default.
- W4387039603 title "A small sample reliability assessment method based on Bayesian theory" @default.
- W4387039603 doi "https://doi.org/10.1049/icp.2023.1647" @default.
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