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The Monte Carlo Add-In for
Excel adds real-time probability simulations to Excel. This means you
can build spreadsheet models and plans with uncertain variables, then
test the effect of that uncertainty on your model outputs.
Beyond the basic simulation engine, the Add-In has many features
for designing long-term, complex probability simulations and generating
charts and graphs of results data.
When you get Start ed with probability simulation, you can just use one
or two new formulas to get immediate results from your existing models
(see our Hands-On Guide). As your models get more and more detailed,
you'll be able to use more and more features of the Add-In.
Long-Period Random Number Generation
The Monte Carlo Add-In for Excel uses a long-period random number
generator, based on the Mersenne Twister algorithm, suited for running
complex probability simulation models with thousands of sample values
generated per iteration.
Immediate simulation re-play and seed entry functions allow you to
analyze simulations across multiple runs, and create reliable
simulations for presentation.
Automatic Histogram and Chart Generation
The Monte Carlo Add-In for Excel includes a wizard for quickly and
easily generating histograms, charts, tables, and graphs based on
simulation results.
The histogram and charts wizard makes generating complex tables and
charts easy, with just a few mouse clicks. The wizard can create
embedded charts in existing worksheets or create a complete simulation
results worksheet containing output values, sensitivity analysis, and
simulation parameters.
Tables and charts are automatically updated to reflect the results of
each simulation you run, so you can modify your simulation parameters
and view the results in real time.
Multiple Random Distributions
The Monte Carlo Add-In for Excel includes functions for sampling values
from more than 20 random distributions. Random distibution functions can
be used in simulations or to generate values for any Excel formula.
In addition to basic random distributions, the Add-in includes the
beta-PERT distribution for modeling expert data, and bivariate and
multivariate normal distributions for modeling complex, correlated
random values.
Scriptable Simulations from VBA
A Monte Carlo simulation can be run at any time from the menu, or you
can use VBA to script complex simulations. This can be used to schedule
long simulations, run simulations multiple times and trap results, or
test modified values against simulation output. Any function can
be called from VBA.
For more information on scripting simulations, check the install
documentation or download the user manual from the help page.
Use Any Excel Value or Function Result
Unlike many simulation packages, the Monte Carlo Add-In for Excel is
deeply integrated with Excel and can use any Excel value or formula
result as the basis for a simulation. You can run simulations on any
random number, or on the result of complex calculations.
This flexibility means you can embed probability simulations into your
existing spreadsheets and Excel applications, or create new simulation
models based on the Excel tools you already know.
A complete set of functions for analyzing the output of a simulation -
including mean, median, skewness, kurtosis, covariance, and so on - are
available from within Excel, so you can build a complete spreadsheet to
analyze the output of your simulation.
The Best Value
We think the the Monte Carlo Add-In for Excel is the best tool for
modeling probability simulations. No other tool comes close to the
combination of functionality, integration, ease of use and best of all,
low price.
The Monte Carlo Add-In for Excel can be used as an entry-level
introduction to probability simulation or an advanced tool for
generating complex models.
$129.95Special! Free Choice of Complete Excel Training Course or Excel Add-ins Collection on all purchases totaling over $70.00. ALL purchases totaling over $150.00 gets you BOTH! Purchases MUST be made via this site. Send payment proof to [email protected] 31 days after purchase date.
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