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 …
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 …
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 …
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 …
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 …
assessing the goodness of nonregular designs and supersaturated designs. The new …
A method for constructing supersaturated designs and its Es2 optimality
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 …
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 …
objective of this book is to provide a rigorous, systematic, and up-to-date treatment of the …
Orthogonal subsampling for big data linear regression
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 …
Data reduction, or subsampling, that extracts useful information from datasets is a crucial …
Analysis of supersaturated designs via the Dantzig selector
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 …
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
Abstract Space-filling designs are widely used in both computer and physical experiments.
Column-orthogonality, maximin distance, and projection uniformity are three basic and …
Column-orthogonality, maximin distance, and projection uniformity are three basic and …