Examples of measurement uncertainty evaluations in accordance with the revised GUM

• Published in: Journal of physics. Conference series Vol. 772; no. 1; pp. 12008 - 12013
• Main Authors: Runje, B, Horvatic, A, Alar, V, Medic, S, Bosnjakovic, A
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.11.2016
• Subjects: Bayesian analysis; Evaluation; Monte Carlo simulation; Physics; Probability density functions; Propagation; Revisions; Skewed distributions; Uncertainty
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/772/1/012008

The paper presents examples of the evaluation of uncertainty components in accordance with the current and revised Guide to the expression of uncertainty in measurement (GUM). In accordance with the proposed revision of the GUM a Bayesian approach was conducted for both type A and type B evaluations.The law of propagation of uncertainty (LPU) and the law of propagation of distribution applied through the Monte Carlo method, (MCM) were used to evaluate associated standard uncertainties, expanded uncertainties and coverage intervals. Furthermore, the influence of the non-Gaussian dominant input quantity and asymmetric distribution of the output quantity y on the evaluation of measurement uncertainty was analyzed. In the case when the probabilistically coverage interval is not symmetric, the coverage interval for the probability P is estimated from the experimental probability density function using the Monte Carlo method. Key highlights of the proposed revision of the GUM were analyzed through a set of examples.