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Monte Carlo Analysis<br />

Primary Statistics of Uncertainty Analysis<br />

**********************************************************<br />

*** ***<br />

*** Monte Carlo Analysis ***<br />

*** ***<br />

**********************************************************<br />

...<br />

==> Main File for Monte Carlo Analysis (test31.mcm)<br />

==> Version 1.0<br />

==> Additional Files :<br />

Input Sample test.mci (no)<br />

Output Sample test.mco (no)<br />

Histograms test.mch (no)<br />

==> Optional Sections in Post-Analysis :<br />

Print Coverage Intervals (yes)<br />

Print Confidence Intervals (yes)<br />

Alternative Statistics (no)<br />

Min/Max Values<br />

(no)<br />

Scale and Shape Values (no)<br />

Normality Test<br />

(no)<br />

Capability Indices<br />

(no)<br />

Output Correlation Analysis (no)<br />

Sensitivity Analysis<br />

(no)<br />

==> Dimensions:<br />

Random Variables : 51<br />

Output Measures : 3<br />

==> Parameters:<br />

Design : Standard Monte Carlo (pseudo-random generator)<br />

==> Simulations : 1000 (Number of Runs)<br />

List of Output Measures:<br />

Undef. Filtered %Relative<br />

Simulations Out Std Dev Name<br />

--------------------------------------------------------------------<br />

Meas 1 0 ( 0.00 %) No 4.6215 MAX<br />

Meas 2 0 ( 0.00 %) No 0.9024 BW<br />

Meas 3 0 ( 0.00 %) No 1.4823 IVDD<br />

Here “Undefined” means that for some reason Eldo failed to extract the value from an<br />

individual simulation. It has nothing to do with yield approximation. This latter is given in the<br />

.mco file, see Output Sample.<br />

It is important to note that we automatically remove undefined data from the computations.<br />

The column Filtered Out indicates whether or not the corresponding extract has been removed<br />

from the list of analyzed measures. This typically occurs when the measure is constant or almost<br />

constant. In this case the Relative Standard Deviation would be less than 10 −6 ( = 0.0001%).<br />

Eldo® User's Manual, 15.3 475

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