INTRODUCTION
An objective of any system simulation must be to achieve a certain measure of understanding of the nature of the relationships between the input variables and the output variables of the real system under study. The simulation model, although simpler than the real-world system, is still a very complex way of relating input to output. Sometimes, a simpler model may be used as an auxiliary to the simulation model in order to better understand the more complex model and to provide a framework for testing hypotheses about it. This auxiliary model is frequently referred to as a metamodel (Friedman, 1996).
One simple metamodel favored by some simulation researchers, notably Kleijnen (1979, 1982; et al. 1979), is the general linear model. For a univariate response experiment, this is
When simulation-generated data are used to estimate the parameters of this first-order linear additive model, the resulting estimated metamodel is
This general linear metamodel can provide...
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Friedman, L.W. (2001). Simulation metamodeling . In: Gass, S.I., Harris, C.M. (eds) Encyclopedia of Operations Research and Management Science. Springer, New York, NY. https://doi.org/10.1007/1-4020-0611-X_957
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