A methodology for fitting and validating metamodels in simulation
To cut down the cost, surrogate models, also known as metamodels, are constructed from and then used in lieu of the actual simulation models.
Classic design of experiments (DOE) is summarized, including standard measures of fit such as the R-square coefficient and cross-validation measures.
This DOE is extended to sequential or stagewise DOE.
Metamodels may have different goals: (i) understanding, (ii) prediction, (iii) optimization, and (iv) verification and validation.
For this metamodeling, a process with thirteen steps is proposed.