In factor fixing, the model parameters that have the least influence on the model output are identified – often with the purpose of simplifying the model.
A total-effect sensitivity index quantifies the effect of the associated model parameter and all its interactions with other parameters on the model output. The total-effect sensitivity indices are well-suited for factor fixing.
Sensitivity analysis assesses how the input parameters and their uncertainties influence the model output. It is essential to define the goal of the analysis as the first step of any sensitivity analysis.
