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Operational Measurement Uncertainty and Bayesian Probability Distribution

Published

Author(s)

Raghu N. Kacker

Abstract

The JCGM documents have undermined the operational concept of uncertainty in measurement established by the GUM and restored the pre-GUM practice of stating possible error relative to the true value, supposedly to align with Bayesian interpretation. It is possible to revise the JCGM documents to agree with the operational view of uncertainty in measurement as well as align them with Bayesian thinking.
Issue
ISBN 978-3-9819376-2-6
Conference Dates
June 22-25, 2020
Conference Location
Nuremberg,, DE
Conference Title
Sensor and Measurement Science International, 22-25 June 2020, Nuremberg, Germany

Keywords

Bayesian inference, Metrology, Probability, True value, Uncertainty in measurement

Citation

Kacker, R. (2020), Operational Measurement Uncertainty and Bayesian Probability Distribution, Sensor and Measurement Science International, 22-25 June 2020, Nuremberg, Germany, Nuremberg,, DE, [online], https://doi.org/10.5162/SMSI2020/D3.1, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=929744 (Accessed April 15, 2024)
Created June 25, 2020, Updated December 6, 2022