Optimal Design of Experiments

This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following:

  • How can I do screening inexpensively if I have dozens of factors to investigate?
  • What can I do if I have day-to-day variability and I can only perform 3 runs a day?
  • How can I do RSM cost effectively if I have categorical factors?
  • How can I design and analyze experiments when there is a factor that can only be changed a few times over the study?
  • How can I include both ingredients in a mixture and processing factors in the same study?
  • How can I design an experiment if there are many factor combinations that are impossible to run?
  • How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study?
  • How can I take into account batch information in when designing experiments involving multiple batches?
  • How can I add runs to a botched experiment to resolve ambiguities?

While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain.

After receiving the Ziegel Award, Peter Goos and Bradley Jones were interviewed at the Joint Statistical Meetings in Montreal, Canada. Watch the interview at !

The authors discuss the book in much detail in an interview for JMP Analytically Speaking. One of the book chapters is re-enacted in the video below.


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.

Christopher J. Nachtsheim

Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota

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.

Marie Gaudard

Professor Emeritus, University of New Hampshire

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.

J. Stuart Hunter

Professor Emeritus, Princeton 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.

Douglas C. Montgomery

Regents Professor, Department of Industrial Engineering, Arizona State University

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.

John Sall

Executive Vice President and Cofounder, SAS Institute