Factor Mapping and Metamodelling

In this work we present some techniques, within the realm of Global Sensitivity Analysis, which permit to address fundamental questions in term of model’s understanding. In particular we are interested in developing tools which allow to determine which factor (or group of factors) are most responsible for producing model outputs Y within or outside specified bounds ranking the importance of the various input factors in terms of their influence on the variation of Y . On the other hand, we look for representing in a direct way (graphically, analytically, etc.) the relationship between input factors {X1, . . . , Xk} and output Y in order to get a better understanding of the model itself.

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