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Praise for the First Edition:
"If you . . . want an up-to-date, definitive reference written by authors who have contributed much to this field, then this book is an essential addition to your library."
—Journal of the American Statistical Association
Fully updated to reflect the major progress in the use of statistically designed experiments for product and process improvement, Experiments, Second Edition introduces some of the newest discoveries—and sheds further light on existing ones—on the design and analysis of experiments and their applications in system optimization, robustness, and treatment comparison. Maintaining the same easy-to-follow style as the previous edition while also including modern updates, this book continues to present a new and integrated system of experimental design and analysis that can be applied across various fields of research including engineering, medicine, and the physical sciences.
The authors modernize accepted methodologies while refining many cutting-edge topics including robust parameter design, reliability improvement, analysis of non-normal data, analysis of experiments with complex aliasing, multilevel designs, minimum aberration designs, and orthogonal arrays. Along with a new chapter that focuses on regression analysis, the Second Edition features expanded and new coverage of additional topics, including:
-
Expected mean squares and sample size determination
-
One-way and two-way ANOVA with random effects
-
Split-plot designs
-
ANOVA treatment of factorial effects
-
Response surface modeling for related factors
Drawing on examples from their combined years of working with industrial clients, the authors present many cutting-edge topics in a single, easily accessible source. Extensive case studies, including goals, data, and experimental designs, are also included, and the book's data sets can be found on a related FTP site, along with additional supplemental material. Chapter summaries provide a succinct outline of discussed methods, and extensive appendices direct readers to resources for further study.
Experiments, Second Edition is an excellent book for design of experiments courses at the upper-undergraduate and graduate levels. It is also a valuable resource for practicing engineers and statisticians.
- Sales Rank: #551916 in Books
- Published on: 2009-08-10
- Original language: English
- Number of items: 1
- Dimensions: 9.60" h x 1.60" w x 6.40" l, 2.50 pounds
- Binding: Hardcover
- 760 pages
Review
“On the whole, I think the book is ideal for a year-long course at the graduate level (there is much more material in the book than can be reasonably covered even in a year-long course), but is still advanced for undergraduates.” (Zentralblatt MATH, 2012)
From the Back Cover
Praise for the First Edition:
"If you . . . want an up-to-date, definitive reference written by authors who have contributed much to this field, then this book is an essential addition to your library."—Journal of the American Statistical Association
Fully updated to reflect the major progress in the use of statistically designed experiments for product and process improvement, Experiments, Second Edition introduces some of the newest discoveries—and sheds further light on existing ones—on the design and analysis of experiments and their applications in system optimization, robustness, and treatment comparison. Maintaining the same easy-to-follow style as the previous edition while also including modern updates, this book continues to present a new and integrated system of experimental design and analysis that can be applied across various fields of research including engineering, medicine, and the physical sciences.
The authors modernize accepted methodologies while refining many cutting-edge topics including robust parameter design, reliability improvement, analysis of non-normal data, analysis of experiments with complex aliasing, multilevel designs, minimum aberration designs, and orthogonal arrays. Along with a new chapter that focuses on regression analysis, the Second Edition features expanded and new coverage of additional topics, including:
-
Expected mean squares and sample size determination
-
One-way and two-way ANOVA with random effects
-
Split-plot designs
-
ANOVA treatment of factorial effects
-
Response surface modeling for related factors
Drawing on examples from their combined years of working with industrial clients, the authors present many cutting-edge topics in a single, easily accessible source. Extensive case studies, including goals, data, and experimental designs, are also included, and the book's data sets can be found on a related FTP site, along with additional supplemental material. Chapter summaries provide a succinct outline of discussed methods, and extensive appendices direct readers to resources for further study.
Experiments, Second Edition is an excellent book for design of experiments courses at the upper-undergraduate and graduate levels. It is also a valuable resource for practicing engineers and statisticians.
About the Author
C. F. Jeff Wu, PhD, is Coca-Cola Professor in Engineering Statistics at the Georgia Institute of Technology. Dr. Wu has published more than 130 papers and is the recipient of numerous accolades, including the National Academy of Engineering membership and the COPSS Presidents' Award.
Michael S. Hamada, PhD, is Statistical Scientist at Los Alamos National Laboratory in New Mexico. Dr. Hamada is a Fellow of the American Statistical Association and the author of more than seventy published papers.
Most helpful customer reviews
1 of 1 people found the following review helpful.
Excelletly written
By melreview
This is the best written text book I've ever had. It clearly explains complex concepts. I did not have a good professor for the class and this book was a great replacement.
0 of 0 people found the following review helpful.
Great Reference
By meerkat
This book is a great reference book for experimental design. Well organized and with plenty of examples. Covers a lot of ground but could pick and choose easily. Worked well for me as a researcher trying to understand and apply some of the techniques for specific designs when they may not want to become expert in the whole field. The data is available at the author's web site which helps if you want to play with the examples. This comment is for the first edition.
0 of 0 people found the following review helpful.
excellent book
By rpj
loved this book. Very easy to read through and understand the concepts. Good set of exercises too. will keep with me as a reference
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