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Line 34: p/[2(p-1)]</math>, as this ensures equal probability of sampling in the input space. [[File:Example_EEMethod.jpg\|thumb \| right \| 400px \| Figure 2: Example of identification of non-influential input factors by the use of the measures <math> \mu </math> and <math> \sigma </math>. The model is the function proposed by Morris to exemplify the method in his original work.]] In case input factors are not uniformly distributed, the best practice is to sample in the space of the quantiles and to obtain the inputs values using inverse cumulative distribution functions. Note that in this case <math> \Delta </math> equals the step taken by the inputs in the space of the quantiles.<br />

Elementary effects method: Difference between revisions