Analysis of output data

Abstract

This paper describes, in general terms, methods for interpreting the output from simulation models. Statistical methods are described for several different purposes, and related problems like design, comparison, variance reduction, sensitivity estimation, metamodeling, and optimization are mentioned. The main point is to call attention to the challenges and opportunities in using simulation models carefully and effectively.