Journal
ACCREDITATION AND QUALITY ASSURANCE
Volume 16, Issue 2, Pages 83-88Publisher
SPRINGER
DOI: 10.1007/s00769-010-0733-2
Keywords
GUM; Monte Carlo Method; Uncertainty; Measurement; Sensitivity coefficient
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In the evaluation of measurement uncertainty, the uncertainty budget is usually used to identify dominant terms that contribute to the uncertainty of the output estimate. Although a feature of the GUF method, it is also recommended as a qualitative tool in MCM by using 'nonlinear' equivalents of uncertainty contributions and sensitivity coefficients. In this paper, the use of 'linear' and 'nonlinear' parameters is discussed. It is shown that when and only when the standard uncertainty of the output estimate is nearly equal to the square root of the sum of the squares of the individual uncertainty contributions, will the latter be a reliable tool to detect the degree of contribution of each input quantity to the measurand uncertainty.
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