Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling.
The tremendous potential benefits of SA are, however, yet to be fully realized, both for …

Sensitivity analysis (SA) as a 'formal'and 'standard'component of scientific development and
policy support is relatively young. Many researchers and practitioners from a wide range of …

Sensitivity analysis is now considered a standard practice in environmental modeling.
Several open-source libraries, such as the Sensitivity Analysis Library (SALib), have been …

Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model
can be attributed to variations of its input factors. SA is increasingly being used in …

Computer simulation models are continually growing in complexity with increasingly more
factors to be identified. Sensitivity Analysis (SA) provides an essential means for …

Complex mathematical and computational models are used in all areas of society and
technology and yet model based science is increasingly contested or refuted, especially …

Uncertainty and sensitivity analysis (UA/SA) aid in assessing whether model complexity is
warranted and under what conditions. To support these analyses a variety of software tools …

Sensitivity analysis provides information on the relative importance of model input
parameters and assumptions. It is distinct from uncertainty analysis, which addresses the …

VARS-TOOL is a software toolbox for sensitivity and uncertainty analysis. Developed
primarily around the “Variogram Analysis of Response Surfaces” framework, VARS-TOOL …

Sensitivity analysis (SA) has been used to evaluate the behavior and quality of
environmental models by estimating the contributions of potential uncertainty sources to …