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Bayesian Estimates of Systematic Errors of Means of Measurement

  • GENERAL PROBLEMS OF METROLOGY AND MEASUREMENT TECHNIQUE
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Abstract

The problem of calculating the expanded uncertainty of measurements during calibration is examined. Two sources of measurement error are identified: the uncertainty of the reference value obtained from a standard and the dispersion in the readings from the measuring instrument that is being calibrated. A Bayesian approach is used to determine the dependence of the coverage factor on the number of repeated measurements and the relationship of these uncertainties.

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References

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Authors and Affiliations

  1. Mendeleev All-Russia Research Institute of Metrology (VNIIM), St. Petersburg, Russia

    N. A. Burmistrova, A. V. Stepanov & A. G. Chunovkina

Authors
  1. N. A. Burmistrova
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  2. A. V. Stepanov
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  3. A. G. Chunovkina
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Corresponding author

Correspondence to N. A. Burmistrova.

Additional information

Translated from Izmeritel’naya Tekhnika, No. 9, pp. 6–10, September, 2015.

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Burmistrova, N.A., Stepanov, A.V. & Chunovkina, A.G. Bayesian Estimates of Systematic Errors of Means of Measurement. Meas Tech 58, 942–948 (2015). https://doi.org/10.1007/s11018-015-0822-z

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  • DOI: https://doi.org/10.1007/s11018-015-0822-z

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