Editing Sensitivity analysis (section)

{{short description|Study of uncertainty in the output of a mathematical model or system}}
{{MOS|date=September 2024}}

'''Sensitivity analysis''' is the study of how the [[uncertainty]] in the output of a [[mathematical model]] or system (numerical or otherwise) can be divided and allocated to different sources of uncertainty in its inputs.<ref name="SA def book">{{cite book |last1=Saltelli|first1=A. |last2=Ratto|first2=M. |last3=Andreas|first3=T. |last4=Campolongo|first4=F. |last5=Gariboni |first5=J. |last6=Gatelli |first6=D. |last7=Saisana |first7=M. |last8=Tarantola |first8=S. |year=2008|title=Global sensitivity analysis: the primer |publisher=John Wiley & Sons |doi=10.1002/9780470725184|isbn=978-0-470-05997-5 }}</ref><ref name="SA def">{{cite book |last1=Saltelli|first1=A. |last2=Tarantola|first2=S. |last3=Campolongo|first3=F. |last4=Ratto |first4=M. |year=2004|title=Sensitivity analysis in practice: a guide to assessing scientific models |volume=1 |doi=10.1002/0470870958|isbn=978-0-470-87093-8 }}</ref> This involves estimating sensitivity indices that quantify the influence of an input or group of inputs on the output. A related practice is [[uncertainty analysis]], which has a greater focus on [[uncertainty quantification]] and [[propagation of uncertainty]]; ideally, uncertainty and sensitivity analysis should be run in tandem.