A polynomial chaos approach to measurement uncertainty

Abstract

Measurement uncertainty is traditionally represented in the form of expanded uncertainty as is defined through the guide to the expression of uncertainty in measurement (GUM). The ISO GUM represents uncertainty through confidence intervals based on the variances and means derived from probability density functions (PDF). A new approach to the evaluation of measurement uncertainty based on the polynomial chaos theory is presented and compared with the traditional GUM method.

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