D-optimal design of split-split-plot experiments

Jones Bradley and Peter Goos ()

Working Papers from University of Antwerp, Faculty of Business and Economics

Abstract: In industrial experimentation there is growing interest in studies that span more than one processing step. Convenience often dictates restrictions in randomization in passing from one processing step to another. When the study encompasses three processing steps, this leads to split-split-plot designs. We provide an algorithm for computing D-optimal split-split-plot designs and provide many illustrative examples. We then apply our methods to construct D-optimal alternatives to a previously run split-split-plot design for cheese production.

Keywords: D-optimality; Exchange algorithm; Hard-to-change factors; Multi-stratum design; Split-plot design; Tailor-made design (search for similar items in EconPapers)
Pages: 31 pages
Date: 2007-09
New Economics Papers: this item is included in nep-cmp
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https://repository.uantwerpen.be/docman/irua/734733/ae72117e.pdf (application/pdf)

Related works:
Journal Article: D-optimal design of split-split-plot experiments (2009)
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Persistent link: https://EconPapers.repec.org/RePEc:ant:wpaper:2007017

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