Model-based measurement uncertainty evaluation, with applications in testing

• Published in: Accreditation and quality assurance Vol. 8; no. 12; pp. 548 - 554
• Main Authors: Cox, Maurice G., Desenfant, Mich le, Harris, Peter M., Siebert, Bernd R. L.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Heidelberg Springer 01.12.2003; Berlin Springer Nature B.V
• Subjects: Calibration; Central limit theorem; Estimates; Exact sciences and technology; Measurement and error theory; Metrology; Metrology, measurements and laboratory procedures; Monte Carlo simulation; Normal distribution; Numerical methods; Physics; Propagation; Tensile strength; Test methods; Testing laboratories; Uncertainty; Measure theory; Monte Carlo methods; Uncertainty handling; Probability density function; Uncertainty evaluation; Models; Propagation of distributions; Legal metrology; GUM; Testing
• ISSN: 0949-1775; 1432-0517
• DOI: 10.1007/s00769-003-0711-z

Basic concepts and implementations of the model-based approach to uncertainty evaluation are discussed. One implementation is that of the law of propagation of uncertainty with the use of the central limit theorem as recommended in the Guide to the expression of uncertainty in measurement (GUM). Another is the propagation of distributions, the subject of a supplemental guide to the GUM, which is at an advanced stage of development. It falls in the category of “other analytical and numerical methods” indicated in the GUM. Two testing applications are used to illustrate the principles: tennis-ball rebound and tensile strength.