Mathematical modeling | Sensitivity analysis

Elementary effects method

The elementary effects (EE) method is the most used screening method in sensitivity analysis. EE is applied to identify non-influential inputs for a computationally costly mathematical model or for a model with a large number of inputs, where the costs of estimating other sensitivity analysis measures such as the variance-based measures is not affordable. Like all screening, the EE method provides qualitative sensitivity analysis measures, i.e. measures which allow the identification of non-influential inputs or which allow to rank the input factors in order of importance, but do not quantify exactly the relative importance of the inputs. (Wikipedia).

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From playlist Linear Algebra Lectures

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From playlist Chemistry 131C: Thermodynamics and Chemical Dynamics

Related pages

Nonlinear system | Variance | Parameter | Sensitivity analysis | Monotonic function | Distribution (mathematics) | Standard deviation | Mathematical model