@inbook{814e045bca6a486e9e501447f57b3b05,
title = "Ch. 7. A review of design and modeling in computer experiments",
abstract = "In this chapter, we provide a review of statistical methods that are useful in conducting computer experiments. Our focus is primarily on the task of metamodeling, which is driven by the goal of optimizing a complex system via a deterministic simulation model. However, we also mention the case of a stochastic simulation, and examples of both cases are discussed. The organization of our review separates the two primary tasks for metamodeling: (1) select an experimental design; (2) fit a statistical model. We provide an overview of the general strategy and discuss applications in electrical engineering, chemical engineering, mechanical engineering, and dynamic programming. Then, we dedicate a section to statistical modeling methods followed by a section on experimental designs. Designs are discussed in two paradigms, model-dependent and model-independent, to emphasize their different objectives. Both classical and modern methods are discussed.",
author = "Chen, {Victoria C.P.} and Tsui, {Kwok Leung} and Barton, {Russell R.} and Allen, {Janet K.}",
year = "2003",
doi = "10.1016/S0169-7161(03)22009-5",
language = "English (US)",
isbn = "9780444506146",
series = "Handbook of Statistics",
pages = "231--261",
editor = "R. Khattree and C.R. Rao",
booktitle = "Statistics in Industry",
}