Statistical analysis of simulation output

This paper describe , in general terms, methods to help design the run for simulation models and interpreting their out ut. Statistical methods are described for several different purposes, and related problems like comparison, variance reduction, sensitivity estimation, etamodeling, and optimization are mentioned. The main point is to call attention to the challenges and ( pportunities in using simulation models carefully an( i effectively.

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