
Monte Carlo analysis is a computer-based method of analysis developed in the 1940s that uses statistical sampling techniques to obtain a probabilistic approximation. Monte Carlo simulation uses thousands of permutations of random variables to generate a probability distribution that can be used to forecast uncertainties and variability. The bottom line is that you may be making reasonable decisions without this type of analysis, but it is nearly certain that you are leaving value on the table if Monte Carlo analysis is not in your toolbox.
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