Editing Sensitivity analysis (section)

==Related concepts==
Sensitivity analysis is closely related with uncertainty analysis; while the latter studies the overall [[uncertainty]] in the conclusions of the study, sensitivity analysis tries to identify what source of uncertainty weighs more on the study's conclusions.

The problem setting in sensitivity analysis also has strong similarities with the field of [[design of experiments]].<ref name="BoxHunter">Box GEP, Hunter WG, Hunter, J. Stuart. Statistics for experimenters [Internet]. New York: Wiley & Sons</ref> In a design of experiments, one studies the effect of some process or intervention (the 'treatment') on some objects (the 'experimental units'). In sensitivity analysis one looks at the effect of varying the inputs of a mathematical model on the output of the model itself. In both disciplines one strives to obtain information from the system with a minimum of physical or numerical experiments.