Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
477993 | European Journal of Operational Research | 2006 | 11 Pages |
Abstract
Linear regression metamodels have been widely used to explain the behavior of computer simulation models, although they do not always provide a good global fit to smooth response functions of arbitrary shape. In the case study discussed in this paper, the use of several linear regression polynomial results in a poor fit. The use of a non-linear regression metamodeling methodology provides simple functions that adequately approximate the behavior of the target simulation model. The importance of metamodel validation is emphasized by using the generalization of Rao’s test to non-linear metamodels and double cross-validation.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
M. Isabel Reis dos Santos, Acácio M.O. Porta Nova,