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Uncertainty and statistical modelling. (Software Support for Metrology Best Practice Guide No. 6)

Cox, M G; Dainton, M P; Harris, P M (2001) Uncertainty and statistical modelling. (Software Support for Metrology Best Practice Guide No. 6). Technical Report. NPL, UK.

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Abstract

This guide provides best practice on the evaluation of uncertainties within
metrology, and on the support to this topic given by statistical modelling. It
is motivated by two principle considerations. One is that although the primary
guide on uncertainty evaluation, the Guide to the Expression of Uncertainty in
Measurement (GUM), published by ISO, can be expected to be very widely ap-plicable, the approach it predominantly endorses contains some limitations. The other is that on the basis of the authors’ considerable contact with practitioners in the metrology community it is evident that important classes of problem are encountered that are subject to these limitations. These problems include

Item Type: Report/Guide (Technical Report)
Subjects: Mathematics and Scientific Computing
Mathematics and Scientific Computing > Measurement Uncertainties
Publisher: NPL, UK
Last Modified: 02 Feb 2018 13:17
URI: http://eprintspublications.npl.co.uk/id/eprint/2721

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