NDLI: U-type and column-orthogonal designs for computer experiments

Content Provider	Springer Nature Link
Author	Georgiou, Stelios D. Koukouvis, Christos Liu, Min Qian
Copyright Year	2014
Abstract	U-type designs and orthogonal Latin hypercube designs (OLHDs) have been used extensively for performing computer experiments. Both have good spaced filling properties in one-dimension. U-type designs may not have low correlations among the main effects, quadratic effects and two-factor interactions. On the other hand, OLHDs are hard to be found due to their large number of levels for each factor. Recently, alternative classes of U-type designs with zero or low correlations among the effects of interest appear in the literature. In this paper, we present new classes of U-type or quantitative $$3$$ -orthogonal designs for computer experiments. The proposed designs are constructed by combining known combinatorial structures and they have their main effects pairwise orthogonal, orthogonal to the mean effect, and orthogonal to both quadratic effects and two-factor interactions.
Starting Page	1057
Ending Page	1073
Page Count	17
File Format	PDF
ISSN	00261335
Journal	Metrika
Volume Number	77
Issue Number	8
e-ISSN	1435926X
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-03-09
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Computer experiment Fold-over Hadamard matrix Orthogonal design Statistics Statistics for Business/Economics/Mathematical Finance/Insurance Probability Theory and Stochastic Processes Economic Theory
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Statistics, Probability and Uncertainty

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