COMPUTATIONAL INTENSIVE METHOD FOR THE UNCERTAINTY ANALYSIS IN A MULTIVARIATE MODEL

G. Iuculano, A. Lazzari, G. Pellegrini

Abstract

In this work we want to address a computerintensive approach for the uncertainty estimation in a measurement process. A multivariate model is considered and the level of confidence of a probability region, associated with the uncertainty of the measurement process, has been evaluated, using Monte Carlo computational method. The adopted simulation procedure is fully compatible with the conventional uncertainty estimation methods reported in the ISO/GUM [1] and it is adaptable to a large range of practical situations.

Keywords

Uncertainty, Monte Carlo method

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IMEKO-TC4-2002-195.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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