Title
Staggered-level designs for response surface modeling Staggered-level designs for response surface modeling
Author
Faculty/Department
Faculty of Applied Economics
Publication type
report
Publication
Antwerp :Universiteit Antwerpen, Faculty of Applied Economics, [*]
Subject
Economics
Source (series)
Research paper / University of Antwerp, Faculty of Applied Economics ; 2013:027
Volume/pages
33 p.,
Carrier
E
Target language
English (eng)
Affiliation
University of Antwerp
Abstract
In industrial experiments, there are often restrictions in randomization caused by equipment and resource constraints, as well as budget and time restrictions. Next to the split-plot and the split-split-plot design, the staggered-level design is an in- teresting design option for experiments involving two hard-to-change factors. The staggered-level design allows both hard-to-change factors to be reset at dierent points in time, resulting in a typical staggering pattern of factor level resettings. It has been shown that, for two-level designs, this staggering pattern leads to statis- tical benets in comparison to the split-plot and the split-split-plot design. In this paper, we investigate whether the benets of the staggered-level design carry over to situations where the objective is to optimize a response, and where a second-order response surface model is in place. To this end, we study several examples of D- and I-optimal staggered-level response surface designs.
Full text (open access)
https://repository.uantwerpen.be/docman/irua/67f839/1781b5f7.pdf
Handle