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Title: Numerical Techniques For Uncertainty Modelling
Author: Michael Boyd
Source: 2002 North Sea Flow Measurement Workshop
Year Published: 2002
Abstract: This paper demonstrates two numerical techniques which can be used to calculate uncertainties more efficiently than using traditional analytical methods especially where the system being investigated is complicated. The techniques described are a Finite Difference method proposed in the ISO Guide to the Expression of Uncertainty in Measurement 1, followed by an introduction to Monte Carlo modelling. Algorithms for converting conventional computer random number generators into those required for other distribution types are provided in the Appendix. A simple spreadsheet macro is described that will allow users to build an interface for creating dynamic uncertainty models for even the most complicated systems. The method described allows users to calculate uncertainties for any system using a simple point and click interface that requires little statistical expertise.

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