user:algorithm:morris_screening [Promethee]

Morris’s elementary effects screening method

Description

This method is based on design of experiments, allows to identify the few important factors at a cost of r × (p + 1) simulations (where p is the number of factors).In this case, the total cost is 4x(3+1) = 16 simulations.The resulting analysis is the following:

Source

References

  • M. D. Morris, 1991, Factorial sampling plans for preliminary computational experiments, Techno-metrics, 33, 161–174.
  • F. Campolongo, J. Cariboni and A. Saltelli, 2007, An effective screening design for sensitivity, Environmental Modelling & Software, 22, 1509–1518.
  • G. Pujol (2008), Simplex-based screening designs for estimating metamodels, submited to Reliability Engineering and System Safety.

Implementation

Morris method is wrapped from [R] sensitivity package written by Gilles Pujol and maintained by Bertrand Iooss.
See Sensitivity package documentation.

Installation

  • copy in “Promethee_Install_Path/plugins/doe” directory,
  • restart Promethee GUI.
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