Like
Parameter Sweeping, Monte Carlo analysis can be run in conjunction
with any tests Just select the Test you wish to perform from
the Test tab, set up the test parameters as described in the
individual tests, and click on the Monte Carlo tab to set
up a Monte Carlo analysis.

To
set up a Monte Carlo analysis, click on the Monte Carlo Setup
button. This will bring up the following dialog box:

The
number of runs (or number of times to randomly vary the chosen
parameter) is set in the # Iterations box. For each run, a
set of device parameters is assigned randomly according to
the parameter's range and distribution type.
To
select and set up the device parameters for variance, select
the appropriate parameter from the available tabs. Resistors
and capacitors distributions are set through their own buttons
because Monte Carlo tolerance is built into the model and
require its own setup. For other devices, use the Edit Distribution
button to set up a particular parameter for Monte Carlo analysis.
Clicking any one of these buttons will bring up the following
dialog box:

The
name of the Part/Parameter that you are setting the distribution
for is displayed in the Parameter box. Use the Random Type
drop down box to set the Distribution Type.
If
you specify Tolerance as a percentage, then it will be interpreted
as a percentage boundary on either side of the individual
parameter's given value. The main types of distributions are
Gaussian and Uniform. Gaussian distribution is the bell shaped
distribution, and Uniform gives any value in the range an
equal probability. To set individual parameter monte-carlo
distributions, edit the model properties of any part in the
circuit and if the model parameters are available, then you
should see an area where you can edit the range and distribution
type for the parameter.
Results
of the Monte Carlo Test can be displayed in a 2D graph, 3D
graph, or a Histogram, which displays the distribution frequency
of the results. Each graph type is set up under the respective
tab in the Monte Carlo setup area.

When
specifying the Histogram, the results will appear as a set
of curves.
When
running a monte-carlo simulation, at each simulation iteration,
parameters are set to values that are different than their
specified values according to their tolerances.
When you have more than one parameter being offset by a tolerance,
sometimes you may want them to move together, and sometimes
you may want them to move distinctly.