Discrete Modelling and Experimental Data Analysis

Name
Discrete Modelling and Experimental Data Analysis
Abstract
SSfM Best Practice Guide No. 4:
Metrology, the science of measurement, involves the determination from experiment of estimates of the values of physical quantities, along with the associated uncertainties. In this endeavour, a mathematical model of the measurement system is required in order to extract information from the experimental data. Modelling involves model building: developing a mathematical model of the
measurement system in terms of equations involving parameters that describe all the relevant aspects of the system, and model solving: determining estimates of the model parameters from the measured data by solving the equations
constructed as part of the model.
Document
External resource [resource.npl.co.uk]
Keywords
Discrete Modelling
Experimental Data Analysis
Reviewed and approved by Robin Barker on 31 October 2007

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