Elementary effects method

Published in 1991 by Max Morris the elementary effects (EE) method is one of the most used screening methods 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.

Source: Wikipedia — Elementary effects method (CC BY-SA 4.0)

Elementary effects method

Published in 1991 by Max Morris the elementary effects (EE) method is one of the most used screening methods 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.

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Source: Wikipedia "Elementary effects method" · CC BY-SA 4.0

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