Title: Blocking response surface designs
Authors: Goos, Peter ×
Donev, A. N #
Issue Date: Nov-2006
Publisher: Elsevier science bv
Series Title: Computational statistics & data analysis vol:51 issue:2 pages:1075-1088
Abstract: The design of experiments involving more than one blocking factor and quantitative explanatory variables is discussed, the focus being on two key aspects of blocked response surface designs: optimality and orthogonality. First, conditions for orthogonally blocked experiments are derived. Next, an algorithmic approach to compute D-optimal designs is presented. Finally, the relationships between design optimality and orthogonality in the context of response surface experiments are discussed in detail. (c) 2005 Elsevier B.V. All rights reserved.
ISSN: 0167-9473
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Center for Operations Research and Business Statistics (ORSTAT), Leuven
× corresponding author
# (joint) last author

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