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Analysis of Key Comparison Data: Unstable Travelling Standards

Measurement Techniques volume 48, pages 883–893 (2005)Cite this article

Abstract

A procedure for the analysis of key comparison data is proposed in the case where the travelling standard shows a deterministic or random drift. It is assumed that some parametric model such as a linear trend is appropriate for modelling the deterministic part of the drift. The random part of the drift is assumed to be adequately described by a random walk model. The chosen drift model is determined by least squares and a model check is carried out. If the model check is satisfied, the derived drift model is applied to determine degrees of equivalence. A star-type sequence is required for the comparison in order to check the adequacy of the random drift model. The procedure is illustrated by its application to simulated data.

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Authors and Affiliations

  1. Physikalisch-Technische Bundesanstalt Berlin, Abbestrasse 2-12, 10587, Berlin, Germany

    C. Elster

  2. Physikalisch-Technische Bundesanstalt Braunschweig, Bundesallee 100, 38116, Braunschweig, Germany

    W. Woger

  3. National Physical Laboratory, Queens Road, Teddington, TW11 OLW, UK

    M. Cox

Authors
  1. C. Elster
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  2. W. Woger
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  3. M. Cox
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Published in Izmeritel'naya Tekhnika, No. 9, pp. 33–39, September, 2005.

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Elster, C., Woger, W. & Cox, M. Analysis of Key Comparison Data: Unstable Travelling Standards. Meas Tech 48, 883–893 (2005). https://doi.org/10.1007/s11018-005-0239-1

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  • DOI: https://doi.org/10.1007/s11018-005-0239-1

Key words

  • key comparison
  • stability
  • random walk
  • least squares