Abstract
Supplement 1 to the ISO Guide to the Expression of Uncertainty in Measurement (GUM) outlines the application of Monte Carlo (MC) simulation to uncertainty propagation through the mathematical model of the measurement. The MC approach uses the information contained in the probability density functions associated with each of the influence parameters of the measurement to determine the probability density function of the output quantity. This paper discusses an approach to uncertainty evaluation for calibration of line scales amenable for application of MC methods. The model for the measurement uncertainty in line scale calibration is interpreted from the perspective of the line-scale user, namely a distance measurement between any two intervals of the line scale. For this purpose, the introduction of a consensus invariant assigned in an alternative interpretation of the data can also expedite international comparison analysis. The proposed method is illustrated using a practical real-world example from an international comparison of calibration of line scales.
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