Optimal design of experiments: a case study approach

Christopher J. Nachtsheim
Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota

It's been said: 'Design for the experiment, don't experiment for the de sign.' This book ably demonstrates this notion by showing how tailor-made, optimal designs can be effectively employed to meet a client's actual needs. It should be required reading for anyone interested in using the design of experiments in industrial settings.

Marie Gaudard
Professor Emeritus, University of New Hampshire

This book puts cutting-edge optimal design of experiments techniques into the hands of the practitioner. Ten real-world design scenarios, which Goos and Jones present as consulting session conversations with clients, easily engage and absorb the reader. A behind-the-scenes look at various technical treasures accompanies each scenario.

J. Stuart Hunter
Professor Emeritus, Princeton University

Each chapter begins with a realistic experimental situation being informally discussed on site by local engineers and statistical consultants. Next an optimal experimental design is constructed and the data with full detailed analysis provided. Statisticians and para-statisticians alike should enjoy this book. Clearly a new day is dawning in the art and practice of experimental design.

Douglas C. Montgomery
Regents Professor, Department of Industrial Engineering, Arizona State University

This is an engaging and informative book on the modern practice of experimental design. The authors' writing style is entertaining, the consulting dialogs are extremely enjoyable, and the technical material is presented brilliantly but not overwhelmingly. The book is a joy to read. Everyone who practices or teaches DOE should read this book.

John Sall
Executive Vice President and Cofounder, SAS Institute

This book is the compelling story of two consultants in dialog as they show their clients how to leave the roads of textbook experimental design and fly the direct route of optimal design as enabled by computer-based methods.