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Polynomial chaos theory (PCT) has been proven to be an efficient way to represent and process uncertainty. In particular, PCT is a computationally efficient way to analyze and solve dynamic models under uncertainty. This paper presents a new way to use a polynomial expansion to incorporate uncertainties that are not expressed in terms of a probability density function (PDF). The paper presents the...
The problem of how to choose the best estimation method for a measurand value when repeated measurements of the input quantities to a nonlinear model are performed is not clearly addressed in the guide to the expression of uncertainty in measurement. In this paper, this issue is tackled by analyzing and comparing the effect of both definitional and acquisition uncertainty contributions on the overall...
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