Evaluation of Measurement Uncertainties Using the Monte Carlo Method at SCL

Abstract

This paper describes the SCL developed software tool for evaluation of measurement uncertainties using the Monte Carlo Method (MCM). The tool has two major components: the MCM Main Program (written in MATLAB) and the Measurement Model Generator (written in Visual Basic). Built-in features are implemented in accordance with the validation criterion stipulated in ´Evaluation of measurement data • Supplement 1 to the “Guide to the expression of uncertainty in measurement” • Propagation of distributions using a Monte Carlo method, JCGM 101:2008’ (GS1)[1], to check if the GUM uncertainty framework (GUF) is applicable. Learning Objectives: To describe the SCL developed software tool for evaluation of measurement uncertainties using the Monte Carlo Method.