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Monte Carlo Simulation Speeds Analysis Results
by David Lengacher

Information Management Magazine
June 2009

Due in large part to its graphical abilities, including the ability to overlay multiple distributions, @RISK provides intuitive results for even the nonstatistically proficient. Dozens of variables can be transformed from statistic model parameters to distributed ones, making significant degrees of sensitivity analysis possible. Without @RISK, it would take a significant amount of custom coding in Visual Basic just to replicate the most basic functions. The tool provides an easy to use interface that fits seamlessly into Excel. I have yet to experience any crashes or errors in using the product. Users who require a broad output space, including a full spectrum of potential outcomes will find @RISK to be a very valuable tool

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