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Calculation of Measurement Uncertainty Using Prior Information

Published

Author(s)

Steven D. Phillips, William T. Estler

Abstract

We describe the use of Bayesian inference to include prior information about the value of the measurand in the calculation of measurement uncertainty. Typical examples show this can, in effect, reduce the expanded uncertainty by up to 85 %. The application of the Bayesian approach to proving workpiece conformance to specification (as given by international standard ISO 14253-1) is presented and a procedure for increasing the conformance zone by modifying the expanded uncertainty guard bands is discussed.
Citation
Journal of Research of the National Institute of Standards and Technology
Volume
103(6)

Keywords

Bayesian, bias, error, measurement uncertainty, uncertainty

Citation

Phillips, S. and Estler, W. (1998), Calculation of Measurement Uncertainty Using Prior Information, Journal of Research of the National Institute of Standards and Technology, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=820904 (Accessed April 25, 2024)
Created October 31, 1998, Updated October 12, 2021