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General Problem of Metrology and Measurement Technique JCGM GUM-6:2020: Comments on the Russian Translation

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Measurement Techniques Aims and scope

The paper briefly describes the Russian translation of JCGM GUM-6:2020, Guide to the Expression of Uncertainty in Measurement – Part 6: Developing and Using Measurement Models, while covering issues related to the inadequacy of mathematical models representing measurement objects. It is shown that, despite a generally correct statement of the problem associated with the inadequate specification of “measurands” in the Guide to the Expression of Uncertainty in Measurement (translated in 1999), its solution does not include the quantification of “intrinsic uncertainty.” No solution to this problem was found in JCGM GUM-6:2020 as well, even though its text mentions the right idea, i.e., to use the extrapolation errors of models as a criterion for their identification, as well as providing several specific and useful, yet well-known, mathematical recommendations.

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Notes

  1. International Bureau of Weights and Measures, https://www.bimp.org, accessed May 25, 2022.

  2. Henceforth, the paper adopts terminology from R 50.2.0004-2000 and MI 2916-2005, GSI. Identification of Probability Distributions when Solving Measurement Problems.

  3. “Intrinsic” in [6] and GOST R 54500.3-2011 / ISO/IEC Guide 98-3:2008, Uncertainty of Measurement. Part 3: Guide to the Expression of Uncertainty in Measurement (D.3.4).

  4. Such a characteristic should be quantitative, characterizing the inadequacy of the model!

  5. This is another argument for the quantitative relationship between the inadequacy of the model and its accuracy.

  6. Note 2 to the term 2.1 “Physical quantity” (see GOST 16263-70) states that “the term can be applied to properties studied not only in physics but also in chemistry or other sciences, provided the application of physical methods is required to compare their quantitative content in different objects.” It seems that calculations do not fall under the category of physical methods.

  7. The original source gives the number [132].

References

  1. Guide to the Expression of Uncertainty in Measurement. Part 6. Developing and Using Measurement Models [Russian translation], BelGIM, Minsk (2022).

  2. W. Bich, M. G. Cox, R. Dybkaer, et al., Metrologia, 49, 702–705 (2012), https://doi.org/https://doi.org/10.1088/0026-1394/49/6/702.

  3. Guide to the Expression of Uncertainty in Measurement (GUM), ISO, Switzerland (1993), 1st ed.

  4. M. Cox and P. Harris, “An outline of supplement 1 to the Guide to the expression of uncertainty in measurement,” Izmer. Tekhn., No. 4, 17–24 (2005).

  5. International Vocabulary of Metrology – Basic and General Concepts and Associated Terms (VIM3) [Russian translation], NPO Professional, St. Petersburg (2010), 2nd ed.

  6. Guide to the Expression of Uncertainty in Measurement [Russian translation], VNIIM, St. Petersburg (1999).

  7. S. F. Levin, “Metrology. Mathematical statistics. Legends and myths of the 20th century: the legend of uncertainty,” Partn. Konkur., No. 1, 13–25 (2001).

  8. S. F. Levin, “Mathematical theory of measurement problems: applications. The main measurement problem of testing measuring instruments for the purposes of type approval,” Kontr.-Izmer. Prib. Sistemy, No. 5, 32–38 (2018).

  9. S. F. Levin, “Measurement problem of identifying the error function,” Zakonodat. Prikl. Metrol., No. 4, 27–33 (2016).

  10. S. F. Levin, “Definitional uncertainty and inadequacy error,” Izmer. Tekhn., No. 11, 7–17 (2019), https://doi.org/10.32446/0368-1025it.2019-11-7-17.

  11. H. L. Lebesgue, La Mesure des Grandeurs, L’Enseignement Mathematique, Geneve (1955).

  12. H. Lebesgue, Measurement of Quantities [Russian translation], Gosuchpedgiz, Moscow (1938).

  13. D. Hudson, Statistics. Lectures on Elementary Statistics and Probability [Russian translation], Izd. MIR, Moscow (1967).

  14. I. T. Frolov (ed.), Dictionary of Philosophy, Politizdat, Moscow (1987), 5th ed.

  15. G. Korn and T. Korn, Mathematical Handbook for Scientists and Engineers [Russian translation], Nauka, Moscow (1968).

    MATH  Google Scholar 

  16. M. H. Quenouille, “Approximate tests of correlation in time-series,” J. R. Stat. Soc. B, 11, 68–84 (1949).

    MathSciNet  MATH  Google Scholar 

  17. A. G. Ivakhnenko, “Group method of data handling as an alternative to the method of stochastic approximation,” Avtomatika, No. 3, 58–72 (1968).

  18. H. Akaike, IEEE T. Automat. Contr., AC-19, 716–723 (1974), https://doi.org/https://doi.org/10.1109/TAC.1974.1100705.

  19. V. N. Vapnik, Reconstruction of Dependencies Using Empirical Data, Nauka, Moscow (1979).

    Google Scholar 

  20. S. F. Levin (ed.), “Statistical analysis of systems ensuring operation of technical facilities,” in: Vopr. Kibernet., AN SSSR, Moscow (1982), Iss. VK-94, pp 105–122.

  21. V. N. Katkovnik, Nonparametric Identification and Data Smoothing: Local Approximation Method, Nauka, Moscow (1985).

  22. S. F. Levin, Fundamentals of Metrology: Tutorial, VVIA im. Zhukovskogo, Moscow (1995).

    Google Scholar 

  23. S. F. Levin, S. S. Chanturidze, V. N. Chernukha, and V. A. Posobilo, “Problem pertaining to the dynamic calibration of a thermomechanical transducer on the basis of the shape memory effect,” in: Metrological Support for Testing and Operation of Complex Objects. Scientific and Methodological Materials, VVIA im. Zhukovskogo, Moscow (1996), pp. 29–35.

  24. S. F. Levin, E. V. Markova, and V. A. Posobilo, “Metrological support systems for measurement problems,” Kontr.-Izmer. Prib. Sistemy, No. 4, 13–14 (1997).

  25. J. S. Marron, “Will art of smoothing ever become a science?” Contemp. Math., No. 59, 169–178 (1986).

  26. Mutual Recognition of National Measurement Standards and of Calibration and Measurement Certificates Issued by National Metrology Institutes, Paris, Oct. 14, 1999, Techn. Suppl. revised in Oct. 2003, pp. 38–41.

  27. E. Pagliano, Z. Mester, and J. Meija, Anal. Chim. Acta, 896, 63–67 (2015), https://doi.org/https://doi.org/10.1016/j.aca.2015.09.020.

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  1. Moscow Institute of Expertise and Testing (MIEI), Moscow, Russia

    S. F. Levin

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Translated from Izmeritel’naya Tekhnika, No. 6, pp. 9–16, June, 2022.

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Levin, S.F. General Problem of Metrology and Measurement Technique JCGM GUM-6:2020: Comments on the Russian Translation. Meas Tech 65, 397–404 (2022). https://doi.org/10.1007/s11018-022-02096-3

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