eldo_user

Figure 11-22. LIMIT Distribution with L=-1 and U=+1
Monte Carlo Analysis
Obsolete Features
This distribution is implicitly used when the argument MCLIMIT is specified on the .MC
command. This option forces Eldo to draw random variations of uniform and Gaussian
distributions from the extreme limits of their support. For example, for a uniform variable we
will get:
NOR/UNI Distributions
As described in the topic “Specifying Statistical Parameters” on page 427, use the following
syntax to assign a statistical distribution to the parameter.
.PARAM PARAM_NAME=NOM_VALUE
+ LOT=(UNI,MINUS_HALF_RANGE[%],PLUS_HALF_RANGE[%])
.PARAM PARAM_NAME=NOM_VALUE
+ DEV=(UNI,MINUS_HALF_RANGE[%],PLUS_HALF_RANGE[%])
.PARAM PARAM_NAME=NOM_VALUE
+ LOT=(UNI,MINUS_HALF_RANGE[%],PLUS_HALF_RANGE[%])
+ DEV=(UNI,MINUS_HALF_RANGE[%],PLUS_HALF_RANGE[%])
.PARAM PARAM_NAME=NOM_VALUE
+ LOT=(NOR,MINUS_3SIGMA_VALUE[%],PLUS_3SIGMA_VALUE[%])
.PARAM PARAM_NAME=NOM_VALUE
. DEV=(NOR,MINUS_3SIGMA_VALUE[%],PLUS_3SIGMA_VALUE[%])
.PARAM PARAM_NAME=NOM_VALUE
+ LOT=(UNI,MINUS_3SIGMA_VALUE[%],PLUS_3SIGMA_VALUE[%])
+ DEV=(UNI,MINUS_3SIGMA_VALUE[%],PLUS_3SIGMA_VALUE[%])
For UNI distributions, only the absolute values of
MINUS_HALF_RANGE,PLUS_HALF_RANGE are considered, and they represent the
negative and positive half-ranges (respectively) of the distribution from its nominal value. A
negative value for MINUS_HALF_RANGE can be used if considered more readable, but it
does not matter. In all cases, the parameter will take its values between NOM_VALUE-
ABS(MINUS_HALF_RANGE) and NOM_VALUE-ABS(PLUS_HALF_RANGE).
Eldo® User's Manual, 15.3 549