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Design and Analysis of Experiments, 5th Edition [Hardcover]

Douglas C. Montgomery (Author)
4.2 out of 5 stars  See all reviews (17 customer reviews)


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Book Description

0471316490 978-0471316497 June 30, 2000 5
Learn How to Achieve Optimal Industrial Experimentation Through four editions, Douglas Montgomery has provided statisticians, engineers, scientists, and managers with the most effective approach for learning how to design, conduct, and analyze experiments that optimize performance in products and processes. Now, in this fully revised and enhanced Fifth Edition, Montgomery has improved his best-selling text by focusing even more sharply on factorial and fractional factorial design and presenting new analysis techniques (including the generalized linear model). There is also expanded coverage of experiments with random factors, response surface methods, experiments with mixtures, and methods for process robustness studies. The book also illustrates two of today's most powerful software tools for experimental design: Design-Expert(r) and Minitab(r). Throughout the text, You'll find output from these two programs, along with detailed discussion on how computers are currently used in the analysis and design of experiments. You'll also learn how to use statistically designed experiments to:
* Obtain information for characterization and optimization of systems
* Improve manufacturing processes
* Design and develop new processes and products
* Evaluate material alternatives in product design
* Improve the field performance, reliability, and manufacturing aspects of products
* Learn how to conduct experiments effectively and efficiently
Other important textbook features:
* Student version of Design-Expert(r) software is available.
* Web site (www.wiley.com/college/montgomery) offers supplemental text material for each chapter, a sample syllabus, and sample student projects from the author's Design of Experiments course at Arizona State University.


Editorial Reviews

Review

"students will continue to find this book useful as a reference text long after the course they bought it for has finished." (Quality & Reliability Engineering International, , March/April 2002)

From the Back Cover

Learn How to Achieve Optimal Industrial Experimentation Through four editions, Douglas Montgomery has provided statisticians, engineers, scientists, and managers with the most effective approach for learning how to design, conduct, and analyze experiments that optimize performance in products and processes. Now, in this fully revised and enhanced Fifth Edition, Montgomery has improved his best-selling text by focusing even more sharply on factorial and fractional factorial design and presenting new analysis techniques (including the generalized linear model). There is also expanded coverage of experiments with random factors, response surface methods, experiments with mixtures, and methods for process robustness studies. The book also illustrates two of today's most powerful software tools for experimental design: Design-Expert(r) and Minitab(r). Throughout the text, You'll find output from these two programs, along with detailed discussion on how computers are currently used in the analysis and design of experiments. You'll also learn how to use statistically designed experiments to:
* Obtain information for characterization and optimization of systems
* Improve manufacturing processes
* Design and develop new processes and products
* Evaluate material alternatives in product design
* Improve the field performance, reliability, and manufacturing aspects of products
* Learn how to conduct experiments effectively and efficiently
Other important textbook features:
* Student version of Design-Expert(r) software is available.
* Web site (www.wiley.com/college/montgomery) offers supplemental text material for each chapter, a sample syllabus, and sample student projects from the author's Design of Experiments course at Arizona State University.

Product Details

  • Hardcover: 672 pages
  • Publisher: Wiley; 5 edition (June 30, 2000)
  • Language: English
  • ISBN-10: 0471316490
  • ISBN-13: 978-0471316497
  • Product Dimensions: 10.2 x 7.2 x 1.2 inches
  • Shipping Weight: 2.7 pounds
  • Average Customer Review: 4.2 out of 5 stars  See all reviews (17 customer reviews)
  • Amazon Best Sellers Rank: #512,643 in Books (See Top 100 in Books)

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Customer Reviews

17 Reviews
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Average Customer Review
4.2 out of 5 stars (17 customer reviews)
 
 
 
 
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31 of 35 people found the following review helpful:
5.0 out of 5 stars highly regarded text on topics important in both engineering and agriculture and many other areas of scientific research, February 12, 2008
Doug Montgomery got excellent statistical training at VPI. He also has a wealth of practical experience from his consulting work. His books on regression, statistical design and response surfaces are all well written and understandable to engineers. This 4th edition published in 1997 still contains all the useful information on factorial and fractional factorial designs. Chapter 14 is a wonderful up-to-date chapter that covers important process optimization topics not often covered in traditional design of experiments books. This includes response surface methods, mixture experiments, evolutionary operation and Taguchi methods. It does not require high level mathematics.

See Experiments by Wu and Hamada if you want a high mathematical level of presentation.
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18 of 21 people found the following review helpful:
4.0 out of 5 stars Comprehensive Introduction to the Design of Experiments, September 25, 2000
By A Customer
This text was used in a graduate course on the Design of Experiments. It has a great wealth of examples that span many different fields of industry, from pharmaceuticals to "tool and die" manufacturing. This text, when used along with a statistical software package, made research projects easy to design, implement, analyze and present to others. I found the chapters on reliability, determining sample size for mixed models (random and fixed variables), very helpful in my research.
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11 of 13 people found the following review helpful:
4.0 out of 5 stars Very Practical and Useful book, January 20, 2005
This review is from: Design and Analysis of Experiments, 5th Edition (Hardcover)
This is one of the Best Works in DOE I have come across apart from the book Statistics for Experimenters by Box, Hunter and Hunter
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Inside This Book (learn more)
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First Sentence:
Investigators perform experiments in virtually all fields of inquiry, usually to discover something about a particular process or system. Read the first page
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Sum of Mean, Source Squares, Cor Total, Factor Type Levels Values, Square Value Prob, Adj R-Squared, Final Equation, Pred R-Squared, Adeq Precision, Continuation of Problem, Appendix Chart, Error Low High, Minitab Balanced, Pinot Noir, Predictor Coef, Prep Meth, Repeat Problem, Tests Source, Use the Box-Cox, Error Subtraction, Log Likelihood, Terms of Actual Factors, Ball Driver Figure, Catalyst Lower Center Upper, Crosslinker Resin Figure
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