Improving the statistical efficiency of computer simulation experiments

Abstract Simulation experiments may generally be regarded as statistical experiments driven by random inputs. Therefore, the results of any simulation model represent estimates (random outputs) characterized by experimental errors. To obtain improved estimates and to increase the statistical efficiency of the simulation (as measured by the variances of the output random variables), various types of variance-reduction techniques are utilized. This paper focuses on some of these techniques.

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