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2016 | OriginalPaper | Buchkapitel

A Retrospective Investigation of Different Uncertainty of Measurement Estimation Approaches

verfasst von : Harish Kumar, P. K. Arora, Girija Moona, D. P. Singh, Jasveer Singh, Anil Kumar

Erschienen in: CAD/CAM, Robotics and Factories of the Future

Verlag: Springer India

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Abstract

The general method which has been widely used for computation of Uncertainty of measurement is law of propagation of uncertainty (LPU) method as discussed in Guide for Uncertainty of Measurement (GUM). Numbers of other new methods, with the time, have been evolved for the assessment of Uncertainty of measurement in metrological and measurement related applications. Monte Carlo Method (MCM), has been given the most emphasis and has been recommended by JCGM wide its supplement for Uncertainty of measurement vide JCGM supplement 101: 2008. This paper is an attempt to discuss briefly, the procedure and role of Monte Carlo Method technique in Uncertainty of measurement.

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Literatur
Zurück zum Zitat Couto, P. R. G., Damascena, J. C., & Oliverira, S. P. (2013). Monte Carlo method applied to uncertainty in measurement. INTECH. Couto, P. R. G., Damascena, J. C., & Oliverira, S. P. (2013). Monte Carlo method applied to uncertainty in measurement. INTECH.
Zurück zum Zitat Cox, M., Harris, P., & Siebert, B. R.-L. (2003). Evaluation of measurement uncertainty based on the propagation of distributions using Monte Carlo method. Measurement Techniques, 46, 824–833.CrossRef Cox, M., Harris, P., & Siebert, B. R.-L. (2003). Evaluation of measurement uncertainty based on the propagation of distributions using Monte Carlo method. Measurement Techniques, 46, 824–833.CrossRef
Zurück zum Zitat ISO GUM (1995). Guide of the expression of uncertainty in measurement. ISO GUM (1995). Guide of the expression of uncertainty in measurement.
Zurück zum Zitat JCGM 101:2008 (2008). Evaluation of measurement data—supplement 1 to the guide to the expression of uncertainty in measurement—propagation of distributions using a Monte Carlo method. JCGM 101:2008 (2008). Evaluation of measurement data—supplement 1 to the guide to the expression of uncertainty in measurement—propagation of distributions using a Monte Carlo method.
Zurück zum Zitat Lee, S. W., Chung, B. D., Bang, Y. S., & Sung, W. B. (2014). Analysis of uncertainty quantification method by comparing monte-carlo method and Wilks’ formula. Nuclear Engineering and Technology, 46, 481–488.CrossRef Lee, S. W., Chung, B. D., Bang, Y. S., & Sung, W. B. (2014). Analysis of uncertainty quantification method by comparing monte-carlo method and Wilks’ formula. Nuclear Engineering and Technology, 46, 481–488.CrossRef
Zurück zum Zitat Rocha, W. F. C., & Nogueira, R. (2012). Monte Carlo method for the evaluation of measurement uncertainty of pharmaceutical certified reference materials. Journal of Brazilian Chemical Society, 23, 385–391.CrossRef Rocha, W. F. C., & Nogueira, R. (2012). Monte Carlo method for the evaluation of measurement uncertainty of pharmaceutical certified reference materials. Journal of Brazilian Chemical Society, 23, 385–391.CrossRef
Zurück zum Zitat Wubbeler, G., Krystek, M., & Elster, C. (2008). Evaluation of measurement uncertainty and its numerical calculation by a Monte Carlo method. Measurement Science Technology, 19, 084009.CrossRef Wubbeler, G., Krystek, M., & Elster, C. (2008). Evaluation of measurement uncertainty and its numerical calculation by a Monte Carlo method. Measurement Science Technology, 19, 084009.CrossRef
Metadaten
Titel
A Retrospective Investigation of Different Uncertainty of Measurement Estimation Approaches
verfasst von
Harish Kumar
P. K. Arora
Girija Moona
D. P. Singh
Jasveer Singh
Anil Kumar
Copyright-Jahr
2016
Verlag
Springer India
DOI
https://doi.org/10.1007/978-81-322-2740-3_75

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