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- W2392602886 abstract "This paper introduces Bayesian theory, and uses it to analyse type A evaluation of uncertainty in measurement. By contrast with classic statistics methods, it can fully utilize the information of the history measurement data. Due to the much more and useful information, it makes the evaluation of uncertainty be more rational. Moreover, this paper proves the rationality and advantage of type A evaluation of uncertainty in measurement based on Bayesian theory with an example." @default.
- W2392602886 created "2016-06-24" @default.
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- W2392602886 date "2004-01-01" @default.
- W2392602886 modified "2023-09-26" @default.
- W2392602886 title "Type A evaluation of measurement uncertainty based on Bayesion theory" @default.
- W2392602886 hasPublicationYear "2004" @default.
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