Use of Different Monte Carlo Sampling Techniques

by Herman Kahn

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A discussion of designing and using such variance-reducing techniques in Monte Carlo problems as importance sampling, Russian roulette and splitting, use of expected values, correlation and regression, and systematic and stratified sampling. In addition, the author examines how these techniques may be applied to the Monte Carlo evaluation of definite integrals.

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