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On the Quantitative Expression of the Accuracy of Laboratory and Industrial Measurements

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Measurement Techniques Aims and scope

A comparative analysis of approaches and methods for expressing the accuracy of industrial (routine) and laboratory measurements is carried out. Debatable questions of summation of systematic and random errors and use of uncertainty in the system of indicators of measurement accuracy are discussed. The applicability of measurement uncertainty in the quantitative expression of the accuracy of laboratory measurements is substantiated.

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References

  1. JCGM 100:2008, Guide to the Expression of Uncertainty in Measurement. GUM 1995 with Minor Corrections.

  2. JCGM 101:2008, Evaluation of Measurement Data. Supplement 1 to the “Guide to the Expression of Uncertainty in Measurement,” Propagation of Distributions Using a Monte Carlo Method.

  3. JCGM 104:2009, Evaluation of Measurement Data. An Introduction to the “Guide to the Expression of Uncertainty in Measurement.”

  4. Bich W., “Revision of the ‘Guide to the expression of uncertainty in measurement.’ Why and how,” Metrologia, 51, 155–158 (2014).

  5. A. G. Chunovkina, “The measurement error, measurement uncertainty, and uncertainty of the measured value,” Izmer. Tekhn., No. 7, 19–23 (2000).

  6. W. Bich, M. G. Cox, and C. Michotte, “Towards a new GUM an update,” Metrologia, 53, 149–159 (2016).

    Article  ADS  Google Scholar 

  7. E. F. Dolinskii, P. P. Kremlevskii, and K. P. Shirokov, “Compilation and assessment of the accuracy of standard reference data,” Izmer. Tekhn., No. 12, 6–7 (1967).

  8. I. A. Sokolov, “On the question of estimating the accuracy of standard reference data,” Izmer. Tekhn., No. 6 (1968).

  9. E. F. Dolinskii, P. P. Kremlevskii, and K. P. Shirokov, “Concerning the note ‘On the question of estimating the accuracy of standard reference data’,” Izmer. Tekhn., No. 11, 101 (1968).

  10. M. A. Zemelman, Metrological Basis of Technical Measurements, Moscow, Izd. Standartov (1991).

    Google Scholar 

  11. GOST R ISO 5725, Accuracy (correctness and precision) of Measurement Methods and Results.

  12. RMG 29-2013, Metrology. Basic Terms and Definitions.

  13. A. V. Stepanov, A. G. Chunovkina, and N. A. Burmistrova, “Calculation of coverage intervals: some study cases,” Advanced Mathematical and Computational Tools in Metrology and Testing: Proc. 10th Advances in Mathematics for Appl. Sci., Singapore, World Sci. Publ. Co. (2015), Vol. 86, p. 429.

  14. N. A. Burmistrova, A. V. Stepanov, and A. G. Chunovkina, “Bayesian estimates of systematic errors in measuring instruments,” Izmer. Tekhn., No. 9, 6–10 (2015).

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Correspondence to A. G. Chunovkina.

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Published in Izmeritel’naya Tekhnika, No. 12, pp. 58–61, December, 2017.

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Chunovkina, A.G., Sulaberidze, V.S. On the Quantitative Expression of the Accuracy of Laboratory and Industrial Measurements. Meas Tech 60, 1238–1242 (2018). https://doi.org/10.1007/s11018-018-1346-0

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  • DOI: https://doi.org/10.1007/s11018-018-1346-0

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