... of the predicted responses to specific variables, but if the variables interact it is often difficult to separate the effects. Global sensitivity is a technique by which one can evaluate the magnitude of the interactions between multiple variables. In this paper, the global sensitivity approach is applied...

... to those variables to which the response is most sensitive. Identification of the most sensitive parameters can be conveniently done using Global sensitivity , which both defines the most critical variables and also quantifies the effects of interacting variables. This also can be a computationally...