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On hierarchical vs. non-hierarchical comparisons in metrologyand testing

Published online by Cambridge University Press:  19 April 2010

F. Pavese
F. Pavese*
Affiliation:
Istituto Nazionale di Ricerca Metrologica (INRIM), Strada delle Cacce 73-91, 10139, Torino, Italy
*
* Correspondence:f.pavese@inrim.it
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Abstract

The type of data treatment is different depending on whether the comparison, inparticular a key comparison of the MRA (mutual recognition agreement), is of thehierarchical or non-hierarchical type. This term does not mean a possible hierarchy amongthe participant laboratories; nor, in the opposite sense, a non-hierarchy among them likein the MRA key comparisons, but an intrinsic characteristic of the comparison measurand ordesign. It is a typical hierarchical comparison when the comparisoninvolves artefact standards. In this case, the summary parameters of the comparison arehierarchically higher than the input dataset. In case of non-hierarchicalcomparisons, the summary parameters are generally not of a hierarchicallyhigher level than the input dataset, because the comparison dataset can be considereddrawn from a single super-population. This happens, when a single standard is circulatedfor measurement; when the measured samples are all drawn from a single batch of areference material; when the standards are all realisations of a single condition – namelya physical or chemical state. This paper will discuss in detail these two categories.

Keywords

ComparisonhierarchymetrologytestingCAFMET2010papers
Type
Research Article
Information
International Journal of Metrology and Quality Engineering , Volume 1 , Issue 1 , 2010 , pp. 7 - 9
Copyright
© EDP Sciences 2010

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References

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