Ch. 4. Uniform experimental designs and their applications in industry

KT Fang, DKJ Lin - Handbook of statistics, 2003 - Elsevier
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 …

[ΒΙΒΛΙΟ][B] Orthogonal arrays: theory and applications

AS Hedayat, NJA Sloane, J Stufken - 2012 - books.google.com
Orthogonal arrays have played a vital role in improving the quality of products manufactured
throughout the world. This first book on the subject since its introduction more than fifty years …

[ΒΙΒΛΙΟ][B] Design and modeling for computer experiments

KT Fang, R Li, A Sudjianto - 2005 - taylorfrancis.com
Computer simulations based on mathematical models have become ubiquitous across the
engineering disciplines and throughout the physical sciences. Successful use of a …

Supersaturated designs: A review of their construction and analysis

SD Georgiou - Journal of Statistical Planning and Inference, 2014 - Elsevier
Supersaturated designs are fractional factorial designs in which the run size (n) is too small
to estimate all the main effects. Under the effect sparsity assumption, the use of …

Minimum moment aberration for nonregular designs and supersaturated designs

H Xu - Statistica Sinica, 2003 - JSTOR
A novel combinatorial criterion, called minimum moment aberration, is proposed for
assessing the goodness of nonregular designs and supersaturated designs. The new …

A method for constructing supersaturated designs and its Es2 optimality

B Tang, CFJ Wu - Canadian Journal of Statistics, 1997 - Wiley Online Library
A lower bound for the Es2 value of an arbitrary supersaturated design is derived. A general
method for constructing supersaturated designs is proposed and shown to produce designs …

[ΒΙΒΛΙΟ][B] Theory of factorial design

CS Cheng - 2016 - api.taylorfrancis.com
Factorial designs are widely used in many scientific and industrial investigations. The
objective of this book is to provide a rigorous, systematic, and up-to-date treatment of the …

Orthogonal subsampling for big data linear regression

L Wang, J Elmstedt, WK Wong, H Xu - The Annals of Applied …, 2021 - projecteuclid.org
The dramatic growth of big datasets presents a new challenge to data storage and analysis.
Data reduction, or subsampling, that extracts useful information from datasets is a crucial …

Analysis of supersaturated designs via the Dantzig selector

FKH Phoa, YH Pan, H Xu - Journal of Statistical Planning and Inference, 2009 - Elsevier
A supersaturated design is a design whose run size is not enough for estimating all the main
effects. It is commonly used in screening experiments, where the goals are to identify sparse …

On design orthogonality, maximin distance, and projection uniformity for computer experiments

Y Wang, F Sun, H Xu - Journal of the American Statistical …, 2022 - Taylor & Francis
Abstract Space-filling designs are widely used in both computer and physical experiments.
Column-orthogonality, maximin distance, and projection uniformity are three basic and …