D3.1 Operational Measurement Uncertainty and Bayesian Probability Distribution
- SMSI 2020
(did not take place because of Covid-19 virus pandemic)
- SMSI 2020 - Measurement Science
- D3 Novel Measurement Approaches & Measurement Uncertainty
- R. Kacker - National Institute of Standards and Technology, Gaithersburg, (USA), R. Kessel - Metrodata, Braunschweig (Germany), K. Sommer - Technical University of Ilmenau, Ilmenau (Germany)
- 275 - 276
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.