@inbook{c1243fb08b0941e7b2e178e0421891b6,
title = "Ch. 4. Uniform experimental designs and their applications in industry",
abstract = "The uniform experimental design is one kind of space filling designs that can be used for computer experiments and also for industrial experiments when the underlying model is unknown. The uniform design seeks its design points to be uniformly scattered on the experimental domain. In this chapter we shall introduce the theory and method of the uniform design and related data analysis and modelling methods. Applications of the uniform design to industry and other areas are discussed.",
author = "Fang, {Kai Tai} and Lin, {Dennis K.J.}",
note = "Funding Information: Most experimental designs, like orthogonal and optimal designs, assume that the underlying model is known with some unknown parameters such as main effects, interactions, regression coefficients and choose a design such that estimation of the parameters has the highest efficiency. However, the experimenter in many experiments *Fang was partially supportedb y the Hong KongR GC grant HKBU2 029/99E and Lin was partiaHys upported by National Science Foundation via Grant DMS-9704711. Copyright: Copyright 2009 Elsevier B.V., All rights reserved.",
year = "2003",
doi = "10.1016/S0169-7161(03)22006-X",
language = "English (US)",
isbn = "9780444506146",
series = "Handbook of Statistics",
pages = "131--170",
editor = "R. Khattree and C.R. Rao",
booktitle = "Statistics in Industry",
}