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Monte Carlo Analysis<br />

Output of Uncertainty Analysis (the .chi File)<br />

This tabular output estimates the left and right limits θ L and θ U , respectively, in the definition of<br />

the confidence interval:<br />

for some values of the confidence level α.<br />

You can generate a summary of the Monte Carlo bootstrap estimates and sensitivity analysis<br />

results in a specific file, the .aex file, and the file specified in the .EXTRACT command using<br />

the options .OPTION DUMP_MCINFO_CONF (bootstrap estimates) and .OPTION<br />

DUMP_MCINFO_SENS (sensitivity analysis).<br />

Global Sensitivity Analysis<br />

The ASCII output for the sensitivity analysis is provided here. This result is composed of:<br />

• The name of the measure, the number of Monte Carlo runs, and the dimension of the<br />

random vector.<br />

• A list of important factors and their sensitivity index.<br />

See “Global Sensitivity Analysis” on page 520.<br />

This example is extracted from the output file of the “Model-Based Approximations Example”<br />

on page 532.<br />

Estimation of Sensitivity Indices for Output Measure : OPFREQ<br />

Number of metamodel-based Simulations : 10000 (Effective Number of Runs)<br />

List of Important Parameters :<br />

Index(I) Histo S(I) (percent / cumulative) Variable<br />

Value<br />

Name<br />

35 |-------------------- 30.7% 30.7% P(TP)<br />

8 |------- 11.9% 42.7% M(SBSIMN,U1)<br />

6 |--- 6.1% 48.8% M(SBSIMN,MUZ)<br />

11 |- 2.5% 51.2% M(SBSIMN,X3E)<br />

7 |- 2.4% 53.7% M(SBSIMN,U0)<br />

14 |- 1.9% 55.6% M(SBSIMN,MUS)<br />

Summary of Extracted Results<br />

You can generate a summary of the extracted Monte Carlo distribution results in the .aex file,<br />

and the file specified in the .EXTRACT command using the option DUMP_MCINFO.<br />

Tip<br />

See “.OPTION DUMP_MCINFO” and “.EXTRACT” in the Eldo Reference Manual.<br />

Eldo® User's Manual, 15.3 471

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