Sentence examples for the elementary effect from inspiring English sources
The Elementary Effect Method has been adopted as Sensitivity Analysis procedure with the aim of understanding the dependency of design parameters on the energy output.
Yet, the interpretation of a high absolute impact is comparable to that of a high (absolute) mean elementary effect (the sensitivity measure in Morris 1991), as is the interpretation of a large interquartile range of the difference distributions to a large standard deviation of the elementary effect.
In this article, we introduce a non-OAT simplex-based design for the elementary effects method.
We find that the radial design is indeed superior even for the computation of the elementary effects method.
Both methods are best practices: the total sensitivity index in the class of the quantitative measures and the elementary effects in that of the screening methods.
Next, the elementary effects are determined on the mechanical model to identify the important parameters in the context of averaged local SA.
The two new sampling strategies, which employ random sampling and quasi-random sampling respectively, compute the elementary effects of each factor at the same initial point and with a same step size in the input space.
Given the similarity between the total sensitivity index and a screening test known as method of the elementary effects (or method of Morris), we test the radial design on this method.
This method, known as the elementary effects method, relies on a "one-factor-at-a-time" (OAT) design of experiments, i.e. two successive points differ only by one factor.
In addition to PSA, we performed a global sensitivity analysis (SA) on the values of stochastic constants by exploiting a screening test called "method of the elementary effects" (EE), as described in [ 69, 70].
As a result, the EE method associates to each input factor its so-called elementary effect, defined as the ratio between the variation in the model output and the variation in the input factor itself.
