Title Details

C. F. JEFF WU, PhD, is H. C. Carver Professor, Department of Statistics and Industrial and Operations Engineering, University of Michigan, Ann Arbor. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics, and a recipient of the COPSS Award and numerous other awards and prizes. He is the author of about 100 published papers.

MICHAEL HAMADA, PhD, is a technical staff member in the Statistical Sciences Group at Los Alamos National Laboratory in New Mexico. He has published 30 papers and has won the Technometrics Wilcoxon Prize and the ASQC Brumbaugh Award.

Basic Principles and Experiments with a Single Factor.

Experiments With More Than One Factor.

Full Factorial Experiments at Two Levels.

Fractional Factorial Experiments at Two Levels.

Full Factorial and Fractional Factorial Experiments at Three Levels.

Other Design and Analysis Techniques for Experiments at More Than Two Levels.

Nonregular Designs: Construction and Properties.

Experiments with Complex Aliasing.

Response Surface Methodology.

Introduction to Robust Parameter Design.

Robust Parameter Design for Signal-Response Systems.

Experiments for Improving Reliability.

Experiments With Nonnormal Data.

Appendices.

Indexes.

"…this book will become a classic text on experimental design." (IIE Transactions on Quality & Reliability Engineering, June 2006)

"Wu and Hamada's book also possesses all the elements it needs to become a classic…this book is a great reference for both researchers and practitioners.” (Interfaces, September-October 2003)

"It is an impressive volume that seems likely to become a standard text." (Short Book Reviews, Vol. 20, No. 3, December 2000)

"I agree with the authors that this book is an excellent reference resource for experienced design-of-experiments practitioners." (Technometrics, Vol. 42, No. 4, May 2001)

"This is a marvelous book that gives a lucid and eminently readable account of he latest and most significant developments in experimental design…thoroughly recommended to anyone who wishes to acquire a sound knowledge of the subject..." (Mathematical Reviews, 2002a)

"A one sentence review of this text would report that it contains a wealth of information...an impressive text. I would highly recommend this as a reference book..." (Journal of Quality Technology, Vol. 34, No. 1, January 2002)

"the book will serve as an excellent reference for practicing statiscians ... (Zentralblatt MATH, Vol.964, No.14, 2001)

"If you are interested in industrial experiments and want an up-to-date, definitive reference written by authors who have contributed much to this field, then Experiments: Planning, Analysis, and Parameter Design Optimization is an essential addition to your library." (Journal of the American Statistical Association, Vol. 97, No. 458, June 2002)

"...goes more deeply into certain subjects than do other available books... this is the book one will turn to for answering more complex questions." (Mathematical Geology, Vol. 35, No. 2, February 2003)