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Sensitivity Analysis

Sensitivity Analysis Sensitivity analysis is the study of how the variation in the output of a model (numerical or otherwise) is manipulated.

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Sensitivity Analysis

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  1. Sensitivity Analysis Sensitivity analysis is the study of how the variation in the output of a model (numerical or otherwise) is manipulated. - An analysis used to determine how sensitive the results of a study or systematic review are to changes in how it was done. Sensitivity analyses are used to assess how robust the results are to uncertain decisions or assumptions about the data and the methods that were used. APPLICATIONS: Sensitivity Analysis can be used to determine the followings: 1. The model resemblance with the process under study 2. The quality of model definition 3. Factors that mostly contribute to the output variability 4. Interactions between factors Source: http://en.wikipedia.org/wiki/Sensitivity_analysis

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