D- and I-optimal design of multi-factor industrial experiments with ordinal outcomes

Author:

Van Brantegem Karel,Strouwen Arno,Goos PeterORCID

Funder

Fonds De La Recherche Scientifique - FNRS

Fonds Wetenschappelijk Onderzoek

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference42 articles.

1. Modeling Dose-Response Microarray Data: the IsoGene Library;Lin,2009

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3. Dispersion effects in robust-design experiments with noise factors;Steinberg;J. Qual. Technol.,1994

4. A candidate-set-free algorithm for generating D-optimal split-plot designs;Jones;J. Roy. Stat. Soc.: Series C (Applied Statistics),2007

5. A general strategy for analyzing data from split-plot and multistratum experimental designs;Goos;Technometrics,2012

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