Dec 18, 2007 · The Elementary Effects Method. The Sampling Strategy and its Optimization. The Computation of the Sensitivity Measures. Working with Groups. The EE Method Step by Step. Conclusions. Exercises. Solutions

The original EE method of Morris [2] provides two sensitivity measures for each input factor: the measure , assessing the overall importance of an input factor on the model output; the measure , describing non-linear effects and interactions.

Jul 1, 2020 · This paper proposes a new space-filling sampling strategy, which is used to screening the parameters based on the Morris’ elementary effect method. The beginning points of sampling trajectories are selected by using the maximin principle of …

Feb 1, 2015 · Environmental models are inherently complex and often characterized by high dimensionality. The method of elementary effects (EE) is one of the most widely used parameter screening technique implemented to reduce burden on computational resources required for thorough model evaluation.

Oct 1, 2007 · We propose a refined sampling strategy that allows for a better exploration of the space of the input factors. We then employ the method to assess the sensitivity of a large chemical model to its input factors. Section 2 describes the EE screening sensitivity measure as originally proposed.

EE_Sampler_Mapper Package is a set of MATLAB functions that generates input factor samples for the method of Elementary Effects or Morris method (Morris, 1991). The main function to run is ‘Fac_Sampler.m’ (or its simplified command line form sampler.m).

Morris’ Method of Elementary Effects. Module includes optimised sampling of trajectories including optional groups as well as calculation of the Morris measures mu, stddev and mu*. Saltelli, A., Chan, K., & Scott, E. M. (2000).

Jan 21, 2008 · Original Morris method utilizes mean ( ) and standard deviation ( ) of elementary effect as screening procedure, while the improved Morris method by Campolongo Morris method issuitable for...

Elementary effects is a popular choice for sensitivity analysis in the environmental and biological sciences, but the current formulation is not suitable for most real-life models. Furthermore, it is not clear which of the commonly used trajectory generation methods is best. Traditional EE • Effect for input , output : 𝑛=

Elementary Effects determine which input factors have larger effect on the objective functions, measuring their type of contribution (e.g. linear, non-linear, interactive or negligible) by few simple indicators. Originally only two measures were computed.