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Measurement traceability, which underpins international trade and our quality of life, requires an uncertainty to be associated with all measurements. The traditional approach to measurement uncertainty evaluation is stated in the Guide to the Expression of Uncertainty in Measurement (GUM) published by the BIPM Joint Committee for Guides in Metrology (JCGM). This approach assumes a linear model, or a model that can be linearised. Two accompanying JCGM guides extend the approach to multivariate measurement and to the use of a Monte Carlo method, which applied to non-linear measurement models in general.
Our research provides innovative solutions to many challenges in the area. In demanding areas such as energy, environment and healthcare we are using domain-specific knowledge to improve the models. Development of Bayesian methods delivers reliable results for these challenging problems, and we are continuing to extend this research as new measurement modalities are developed. We support the JCGM and we are playing a key role in the expansion of the GUM suite of documents.
Our work includes the following themes:
Our research and measurement solutions support innovation and product development. We work with companies to deliver business advantage and commercial success. Contact our Customer Services team on +44 20 8943 7070