This carefully edited collection synthesizes the state of the art in the theory and applications of designed experiments and their analyses. It provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook covers many recent advances in the field, including designs for nonlinear models
"The volumes should be of primary interest to researchers and graduate students from (bio)statistics, but also appeal to scientists where the methodology is applied to real problems. ? Each section contains between two and five chapters. All chapters have been written by leading researchers. ? Most of the chapters indeed provide a thorough overview of the state of the art in the theory of a specific subfield of design and analysis of experiments."
-Peter Goos, KU Leuven University of Antwerp, in Journal of the American Statistical Association, May 2017
"This handbook contains 25 thoughtfully assembled articles that have been written by leading researchers in the field of experimental design. The themes addressed by these articles are theories and computational methods in experimental design. They are well organized in seven sections that cover classical and new approaches for designing scientific experiments. Each section can be read independently from the others, and all articles within a section provide excellent references for further reading. ? The reader can find here a rich theory and methodology in understanding traditional and new problems in experimental design, mostly from the frequentist point of view. At times, the material gets deep and technical but there are many useful references on theoretical and computational issues, which can be found throughout the book. Although it is hard to cover all existing research in experimental design, this handbook manages to give a comprehensive review of many fundamental approaches in experimental design. It is undoubtedly a valuable guide for researchers in statistics, as well as practitioners in the fields of engineering, medicine, biology, or any other discipline that uses experimental investigation. This book could be of value for graduate courses in advanced experimental design with a focus on optimal design theory. It could also be suitable for use as an additional text in any course in adv
