Abstract
Arguments are presented that show that it is ineffective to replace distribution propagation by uncertainty propagation in estimating the uncertainty of measurements, which has a bearing on the accuracy and difficulty of estimating indirect-measurement uncertainties with nonlinear transformations from input data.
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References
Guide to the Expression of Uncertainty in Measurement, ISO (1993).
“Statistical and probabilistic methods for metrology: Special issue,” Metrologia, 43, No. 4 (2006).
M. Cox and P. Harris, Izmer. Tekh., No. 4, 17 (2005); Measurement Techniques, 48, No. 4, 336 (2005).
Guide to the Expression of Uncertainty in Measurement. Propagation of Distributions Using a Monte Carlo Method, Tech. Rep. Joint Committee for Guides in Metrology, Final Draft (2006).
B. I. Shakhtarin, Random Processes in Electronics, Vol. 2, Nonlinear Transformations [in Russian], Gelios ARV, Moscow (2006).
E. A. Golubev, Zavodskaya Laboratoriya: Materials Diagnosis [in Russian], No. 6, 63 (2007).
International Vocabulary of Basic and General Terms in Metrology, ISO (1993).
ISO 5725 11994-1998, Accuracy (Trueness and Precision) of Measurement Methods and Results, Pt. 1–6.
E. A. Golubev, Izmer. Tekh., No. 5, 15 (2007); Measurement Techniques, 50, No. 5, 480 (2007).
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Translated from Izmeritel’naya Tekhnika, No. 2, pp. 15–18, February, 2008.
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Golubev, É.A. Distribution propagation in estimating measurement uncertainty. Meas Tech 51, 130–135 (2008). https://doi.org/10.1007/s11018-008-9014-4
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DOI: https://doi.org/10.1007/s11018-008-9014-4