eldo_user

Monte Carlo Analysis
Additional Uncertainty Analyses (the .mcm File)
Method : Functional ANOVA (global sensitivity indices)
Number of Simulations : 1000 (Number of Runs)
Number of Random Variables : 51
==> List of Random Variables:
Avg.Sens ... Arithmetic Mean of the Sensitivities
Index
of Var Distrib Mean Std. Dev. Name
---------- ... -----------------------------------------------------------
1 Gaussian 1.90000e-08 2.92115e-11 EM(XM16.M1,TOX)
2 Gaussian -3.73283e-01 -1.01878e-03 EM(XM16.M1,VTH0)
3 Gaussian 1.38761e+02 8.35592e-01 EM(XM16.M1,U0)
...
50 Gaussian 3.32200e-01 7.29079e-04 EM(XM10.M1,VTH0)
51 Gaussian 3.88320e+02 1.58357e+00 EM(XM10.M1,U0)
The left part summarizes the average sensitivities for each output measure. The column
Avg.Sens. is an indicator of importance. This number is not necessarily the most representative
value of sensitivity since all measures are considered identically.
==> List of Random Variables:
Avg.Sens ... Arithmetic Mean of the Sensitivities
Index
of Var Meas 1 Meas 2 Meas 3 Avg.Sens ... Name
------------------------------------------------------------
1 0.31% 0.55% 0.86% 0.57% ... EM(XM16.M1,TOX)
2 0.48% 6.32% 11.01% 5.94% ... EM(XM16.M1,VTH0)
3 0.64% 6.66% 11.29% 6.20% ... EM(XM16.M1,U0)
4 0.93% 2.94% 2.38% 2.08% ... EM(XM17.M1,TOX)
...
Ordered Sensitivity Indices
This result is organized as a Pareto chart and it is composed as follows:
• The name of the measure, the effective number of Monte Carlo runs used for the
calculations.
• A list of important factors and their sensitivity index.
See “Global Sensitivity Analysis” on page 520 for more details on the methodology.
502
Eldo® User's Manual, 15.3