Barker, R M; Forbes, A B (2001) Discrete model validation. (Software Support for Metrology Best Practice Guide No. 10). Technical Report. NPL.

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Abstract

Metrology, the science of measurement, involves the determination of physical quantities from experiment, along with estimates of their associated uncertainties. In this evdeavour, a mathematical model of the measurement system is required in order to extract information from the experiment data. For the measurements to be reliable, these models must be validated (shown to be fit for purpose). This Best Practice Guide, a companion guide to SSfM Best Practice Guide No. 4 Discrete Modelling, looks at validation techniques for the main components of discrete modelling: building the functional and statistical model, model solving and parameter estimation methods, goodness of fit of model solutions and experimental design and measurement strategy. The techniques are illustrated in detailed case studies.

Item Type:	Report/Guide (Technical Report)
Subjects:	Mathematics and Scientific Computing Mathematics and Scientific Computing > Modelling
Publisher:	NPL
Last Modified:	02 Feb 2018 13:17
URI:	http://eprintspublications.npl.co.uk/id/eprint/2722

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