Global derivative based sensitivity method for parameter estimation

The global Fourier amplitude sensitivity test (FAST) is added to the analysis and compared with both marginal and profile-based sensitivity methods. The Fourier sine amplitude is utilized here as a first-order sensitivity measure and shown to be directly linked to the local sensitivity coefficient averaged over all ranges of parameter uncertainties and so it is also considered hybrid local-global measure. The comparisons are explained by three compelling model cases with different degrees of parameter co-dependencies and nonlinearities.