Multi-way sensitivity analysis

Multi-way sensitivity analysis is a modelling technique used to investigate the simultaneous impact of uncertainty in multiple model parameters on a model’s output. It addresses the fact that the output is often sensitive to changes in several key parameters at once, not just one at a time. During this analysis, the values of a small number of key parameters (typically 2 to 5) are varied simultaneously across their plausible ranges. The model is then run for each combination of these parameter values, and the resulting changes in the model output are observed. This technique is most useful for exploring the interactions between a limited number of parameters because the number of possible combinations of parameter values has the potential to get very large with a large number of uncertain inputs.