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B0473
Title: Multi-objective optimal experimental split-plot designs for the industry: Case studies Authors:  Kalliopi Mylona - King's College London (United Kingdom) [presenting]
Abstract: Applications of the multi-objective optimal design methodology in pharmaceutical experiments are demonstrated. The aim of the experimentation was to explore the response surface with respect to various experimental factors, with two randomisation levels, as well as to provide good-quality predictions in the experimental region. Previously developed pure-error-based optimality criteria are incorporated corresponding to the fitted model inference and prediction quality. The choice of the designs is discussed and some interesting results have been obtained.