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Evaluation of Measurement Comparisons Using Generalized Least Squares: the Role of Participants’ Estimates of Systematic Error

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  • John F. Clare
  • Annette Koo
  • Robert B. Davies

Abstract

We consider the evaluation of laboratory practice through the comparison of measurements made by participating metrology laboratories when the measurement procedures are considered to have both fixed effects (the residual error due to unrecognised sources of error) and random effects (drawn from a distribution of known variance after correction for all known systematic errors). We show that, when estimating the participant fixed effects, the random effects described can be ignored. We also derive the adjustment to the variance estimates of the participant fixed effects due to these random effects.

Suggested Citation

  • John F. Clare & Annette Koo & Robert B. Davies, 2014. "Evaluation of Measurement Comparisons Using Generalized Least Squares: the Role of Participants’ Estimates of Systematic Error," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 43(20), pages 4297-4307, October.
  • Handle: RePEc:taf:lstaxx:v:43:y:2014:i:20:p:4297-4307
    DOI: 10.1080/03610926.2012.724510
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