Discrete Modelling and Experimental Data Analysis | |||
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. | |||
External resource [resource.npl.co.uk] | |||
Discrete Modelling Experimental Data Analysis | |||
Reviewed and approved by Robin Barker on 31 October 2007 | |||
Report generated on 29 April 2024 at 21:26 BST. Software version 0.9.0 |