Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates

Global sensitivity indices for rather complex mathematical models can be efficiently computed by Monte Carlo (or quasi-Monte Carlo) methods. These indices are used for estimating the influence of individual variables or groups of variables on the model output. (C) 2001 IMACS. Published by Elsevier Science B.V. All rights reserved.