Implementation of Monte Carlo Method (MCM) for evaluation of measurement uncertainties at SCL

Implementation of Monte Carlo Method (MCM) for evaluation of measurement uncertainties at SCL

This paper describes the SCL developed software tool for evaluation of measurement uncertainties by MCM. The tool has two major components- the MCM Main Program (in MATLAB) and the Measurement Model Generator (in Visual Basic). Built-in features are implemented in accordance with the validation crit...

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Bibliographic Details
Published in:2012 Conference on Precision electromagnetic Measurements pp. 574 - 575
Main Authors: Lee, D. W. K., Chau, Y. C.
Format: Conference Proceeding
Language:English
Published: IEEE 01-07-2012
Subjects:
GUM
Histograms
Mathematical model
MATLAB
Measurement uncertainty
Monte Carlo Method
Monte Carlo methods
Uncertainty
Online Access:Get full text
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Summary:This paper describes the SCL developed software tool for evaluation of measurement uncertainties by MCM. The tool has two major components- the MCM Main Program (in MATLAB) and the Measurement Model Generator (in Visual Basic). Built-in features are implemented in accordance with the validation criterion stipulated in GS1 1 , to check if the GUM uncertainty framework (GUF) is applicable.
ISBN:1467304395
9781467304399
ISSN:0589-1485
2160-0171
DOI:10.1109/CPEM.2012.6251059