Discussion on “Design augmentation for response optimization and model estimation”

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About the author

Peter Goos is a full professor at the Faculty of Bio-Science Engineering of the University of Leuven and at the Faculty of Applied Economics of the University of Antwerp, where he teaches various introductory and advanced courses on statistics and probability. His main research area is the statistical design and analysis of experiments. Besides numerous articles in various kinds of scientific journals, he published the books The Optimal Design of Blocked and Split-Plot Experiments, Optimal Experimental Design: A Case Study Approach, Statistics with JMP: Graphs, Descriptive Statistics and Probability, and Statistics with JMP: Hypothesis Tests, ANOVA and Regression. For his work, Peter Goos has received the Shewell Award and the Lloyd S. Nelson Award of the American Society for Quality, the Ziegel Award and the Statistics in Chemistry Award from the American Statistical Association, and the Young Statistician Award of the European Network for Business and Industrial Statistics.