基于先验知识的A类不确定度贝叶斯评价方法的分析与比较

IF 0.1 Q4 INSTRUMENTS & INSTRUMENTATION Ukrainian Metrological Journal Pub Date : 2022-12-29 DOI:10.24027/2306-7039.4.2022.276284
I. Lira
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引用次数: 0

摘要

如果可以假设某个量的多个观测值是独立的,从高斯分布中得出,GUM补充1建议通过应用于三个以上观测值的公式来获得与该量相关的标准不确定度。最近出现了各种文章,提出了贝叶斯方法来克服这一限制。本文对其中一些方法进行了综述,这些方法需要事先了解数量。
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Analysis and comparison of Bayesian methods for type A uncertainty evaluation with prior knowledge
If a number of observations about a certain quantity may be assumed independent, drawn from a Gaussian distribution, Supplement 1 to the GUM recommends that the standard uncertainty associated with the quantity be obtained by a formula that is applied to more than three observations. Various articles have recently appeared proposing Bayesian methods to surmount this limitation. Some of these methods, which require prior knowledge about the quantity, are reviewed in this article.
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来源期刊
Ukrainian Metrological Journal
Ukrainian Metrological Journal INSTRUMENTS & INSTRUMENTATION-
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