+**Sensitivity Analysis** explores how the uncertainty in the output of a mathematical model or system can be apportioned to different sources of uncertainty in its inputs. It reveals which [Input](/wiki/input) variables most profoundly influence the [Output](/wiki/output), helping to understand robustness and inform decisions. This technique is vital in fields ranging from engineering to economics.
+## See also
+- [Risk Assessment](/wiki/risk_assessment)
+- [Modeling](/wiki/modeling)
+- [Uncertainty](/wiki/uncertainty)
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