Title: Outperforming completely randomized designs
Authors: Goos, Peter ×
Vandebroek, Martina #
Issue Date: Jan-2004
Publisher: Amer soc quality control-asqc
Series Title: Journal of quality technology vol:36 issue:1 pages:12-26
Abstract: Split-plot designs have become increasingly popular in industrial experimentation because some of the factors under investigation are often hard-to-change. It is well-known that the resulting compound symmetric error structure not only affects estimation and inference procedures but also the efficiency of the experimental designs used. In this paper, we compute D-optimal first and second order split-plot designs and show that these designs, in many cases, outperform completely randomized designs in terms of D- and G-efficiency. This suggests that split-plot designs should be considered as an alternative to completely randomized designs even if running a completely randomized design is affordable.
ISSN: 0022-4065
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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