Elucidating a structure for experimentation that reduces excess expenditure of resources, this book explores the basic philosophy behind experimental design and the organizational aspects necessary to carry out both large- and small-scale endeavors. The author offers summaries of key concepts, end-of-chapter problems, and complete step-by-step examples for all methods and techniques covered. He integrates the robust design methodology introduced by Taguchi as a natural part of the design effort and establishes a criterion for measurement variables. The book presents the mathematical aspects of statistical experimental design in an intuitive rather than a theoretical manner.
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"With a healthy dosage of exclamatory sentences and unique analogies (one even involving Robin Hood and Friar Tuck) in the first pages of the book, the author does not fail to meet expectations."
-Robert G. McLeod, Journal of Quality Technology, Vol. 38, No. 4, October 2006
"What distinguishes this book from other introductory texts in experimental design is its writing style. The book maintains a conversational tone throughout, presenting equations and mathematical derivations only when absolutely necessary. Reading it gives the feeling of attending a seminar or chatting with an expert a specific topic...The author clearly relishes this approach, and it often works well, making the chapters easy and quick to read and understand. It also has the advantage of appealing to math-phobic readers and anyone trying to avoid feeling lectured."
"Quality by Experimental Design has a lively style and enough tantalizing material that, I hope, will make beginners in statistics, and practitioners in other engineering areas, interested in picking up more advanced books to get a deeper look at the application of statistically designed experiments to quality control problems."
-Alejandro Heredia-Langner, Technometrics, Vol. 48, No. 4, November 2006
"...an invaluable text...presents a wide variety of techniques and innovative methods for designing and conducting experiments with an expectation of acquiring actionable knowledge. ...material is presented in a progressive way that thoughtfully discusses and illustrates proven experimental methods that may be employed to make informed decisions."
--Hank Altland, Corning, Inc., Retired
"The book is an introduction to the theory of experimental design for practitioners. ... The different methods and models are illustrated by a large number of examples and exercises taken from practice. For finding the solutions of the problems, the software package Minitab is used. Application of the methods is supported by various templates and worksheets. ..."
-Zentralblatt MATH, 1088
This work combines proven statistical procedures with practical insights into planning experiments. The second edition takes the design of experiments beyond the mathematical model and into the area of product design optimization, introducing experimentation systems that assure maximum quality of information from the earliest prototype stages of design to the finished product. The book offers summaries of key concepts, end-of-chapter problems, and complete step-by-step examples for all methods and techniques covered.
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