Optimal Design of Experiments

A Case Study Approach

Nonfiction, Science & Nature, Science, Other Sciences, Experiments & Projects
Cover of the book Optimal Design of Experiments by Peter Goos, Bradley Jones, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Peter Goos, Bradley Jones ISBN: 9781119976165
Publisher: Wiley Publication: June 28, 2011
Imprint: Wiley Language: English
Author: Peter Goos, Bradley Jones
ISBN: 9781119976165
Publisher: Wiley
Publication: June 28, 2011
Imprint: Wiley
Language: English

"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

"It's been said: 'Design for the experiment, don't experiment for the design.' 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 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

"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

"It's been said: 'Design for the experiment, don't experiment for the design.' 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 demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following:

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.

More books from Wiley

Cover of the book Mastering the Art of Equity Trading Through Simulation, + Web-Based Software by Peter Goos, Bradley Jones
Cover of the book Designing Urban Agriculture by Peter Goos, Bradley Jones
Cover of the book Retail Marketing and Branding by Peter Goos, Bradley Jones
Cover of the book Mathematical Foundations and Applications of Graph Entropy by Peter Goos, Bradley Jones
Cover of the book Commodities For Dummies by Peter Goos, Bradley Jones
Cover of the book A Counselor's Guide to the Dissertation Process by Peter Goos, Bradley Jones
Cover of the book Statistics at Square Two by Peter Goos, Bradley Jones
Cover of the book Derivatives Models on Models by Peter Goos, Bradley Jones
Cover of the book Raspberry Pi Hardware Projects 1 by Peter Goos, Bradley Jones
Cover of the book Orthogonal Polarization in Lasers by Peter Goos, Bradley Jones
Cover of the book Emotion by Peter Goos, Bradley Jones
Cover of the book Reimaging Doctoral Education as Adult Education by Peter Goos, Bradley Jones
Cover of the book Diseases and Conditions in Dentistry by Peter Goos, Bradley Jones
Cover of the book How To Talk To Absolutely Anyone by Peter Goos, Bradley Jones
Cover of the book The BRC Global Standard for Food Safety by Peter Goos, Bradley Jones
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy