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• W3117144634 endingPage "104224" @default.
• W3117144634 startingPage "104224" @default.
• W3117144634 abstract "Several recent papers address improved uncertainty quantification (UQ) for measurements used in nuclear safeguards. This paper reviews progress and presents new results for bottom-up (first principles) and top-down (empirical) UQ for safeguards, where the main quantitative measure of uncertainty is the total measurement error standard deviation (SD), which includes both random and systematic error components. The five main UQ topics addressed here include: (1) impact of making data-driven choices in SD estimation; (2) use of approximate Bayesian computation (ABC) for both bottom-up and top-down UQ; (3) computational calibration; (4) revisions to the guide to the expression of uncertainty in measurement (GUM), and (5) critique of a recently-suggested “Unified Theory of Measurement Errors and Uncertainties.”" @default.
• W3117144634 created "2021-01-05" @default.
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• W3117144634 date "2021-04-01" @default.
• W3117144634 modified "2023-10-18" @default.
• W3117144634 title "Bottom-up and top-down uncertainty quantification for measurements" @default.
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• W3117144634 doi "https://doi.org/10.1016/j.chemolab.2020.104224" @default.
• W3117144634 hasPublicationYear "2021" @default.
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