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Monte Carlo methods (May 31, 2004).
I got a question from someone in my office who is taking a class on research methods. She
asked me to define the term "Monte Carlo" that her teacher had used without much of an
explanation.
Monte Carlo is a method that studies a problem by repeatedly simulating the random
components of the problem and examining the average result. It always provides an approximate
answer, but if the random components are accurately specified and if the number of
repetitions is large enough, the accuracy of a Monte Carlo simulation can be quite good.
You should avoid the use of Monte Carlo methods when an exact answer is available through
mathematics (except perhaps, as a learning experience).
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07/08/2008. Category:
Statistical computing