Uniform design over general input domains with applications to target region estimation in computer experiments
Journal
Computational Statistics and Data Analysis
Journal Volume
54
Journal Issue
1
Pages
219-232
Date Issued
2010
Author(s)
Abstract
The power of uniform design (UD) has received great attention in the area of computer experiments over the last two decades. However, when conducting a typical computer experiment, one finds many non-rectangular types of input domains on which traditional UD methods cannot be adequately applied. In this study, we propose a new UD method that is suitable for any type of design area. For practical implementation, we develop an efficient algorithm to construct a so-called nearly uniform design (NUD) and show that it approximates very well the UD solution for small sizes of experiment. By utilizing the proposed UD method, we also develop a methodology for estimating the target region of computer experiments. The methodology is sequential and aims to (i) provide adaptive models that predict well the output measures related to the experimental target; and (ii) minimize the number of experimental trials. Finally, we illustrate the developed methodology on various examples and show that, given the same experimental budget, it outperforms other approaches in estimating the prespecified target region of computer experiments. © 2009 Elsevier B.V. All rights reserved.
SDGs
Other Subjects
Adaptive models; Computer experiment; Efficient algorithm; Practical implementation; Small size; Target regions; Uniform Design; Algorithms; Design; Estimation; Experiments; Mobile telecommunication systems; Targets; Computational methods
Type
journal article