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Antonio Possolo explains how measurement uncertainty is evaluated, expressed and propagated when using NIST reference materials. The guide connects the values on a reference material's certificate to the statistical reasoning required when those values enter further measurements or calculations.
An introductory orientation and road map lead into a review of measurement, reference materials, probability and statistics. The main sections use worked examples to show different approaches to uncertainty and the conditions under which they apply. Examples draw on several types of reference materials and measurement quantities.
The appendix supplies computer code for calculations described in the text. Linked contents, examples and lists of reference materials help readers move between the conceptual account and a particular application. This is the complete July 2020 publication, retaining the original equations, diagrams, tables and examples.
Antonio Possolo. Evaluating, Expressing, and Propagating Measurement Uncertainty for NIST Reference Materials. National Institute of Standards and Technology, 2020. https://doi.org/10.6028/NIST.SP.260-202. Original complete report and credits retained.