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Sensitivity analysis
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<p>Sensitivity analysis is the study of how the <a href="/facts/Uncertainty/VM9pnGvk">uncertainty</a> in the output of a <a href="/facts/Mathematical_model/CGhyuxgz">mathematical model</a> or system (numerical or otherwise) can be divided and allocated to different sources of uncertainty in its inputs. This involves estimating sensitivity indices that quantify the influence of an input or group of inputs on the output. A related practice is <a href="/facts/Uncertainty_analysis/lk4Fbz4y">uncertainty analysis</a>, which has a greater focus on <a href="/facts/Uncertainty_quantification/YzIJjhEE">uncertainty quantification</a> and <a href="/facts/Propagation_of_uncertainty/jJE2dzYB">propagation of uncertainty</a>; ideally, uncertainty and sensitivity analysis should be run in tandem. </p>