This book describes the methods and techniques used in the design and analysis of experiments. It emphasizes the connection between the experiment and the model that the experimenter can develop from the results of the experiment and features a new chapter on experiments with random factors.
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Book Description
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)
--This text refers to an out of print or unavailable edition of this title.
From the Back Cover
Learn how to achieve optimal experimentation
Edition after edition, 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 Sixth Edition, Montgomery has enhanced his best-selling text with timely new examples, expanded material on follow-up experimentation following a fractional factorial, and more coverage of split-plot designs.
You’ll 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
The book also illustrates two of today’s most powerful software tools for experimental design: Design-Expert® and Minitab®. Throughout the book, 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. Data sets, supplemental materials, and sample projects are available online at www.wiley.com/college/montgomery. --This text refers to an out of print or unavailable edition of this title.
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Most Helpful Customer Reviews
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,
By
This review is from: Design and Analysis of Experiments, 4th Edition (Hardcover)
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.
18 of 21 people found the following review helpful:
4.0 out of 5 stars
Comprehensive Introduction to the Design of Experiments,
By A Customer
This review is from: Design and Analysis of Experiments, 4th Edition (Hardcover)
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.
11 of 13 people found the following review helpful:
4.0 out of 5 stars
Very Practical and Useful book,
By JAY "JAYTONY" (UK) - See all my reviews
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
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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 New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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 New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 36
books:
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100
books
cite this book:
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- in Front Matter, Back Matter (1), and Back Matter (2)
- Statistical Quality Control by Douglas C. Montgomery in Front Matter, and Back Matter
- Probability and Statistics: WITH Minitab Student Version Release 14 by William W. Hines in Front Matter, and Back Matter
- Biometrika Tables for Statisticians by E. S. Pearson in Back Matter (1), and Back Matter (2)
- Introduction to Statistical Quality Control by Douglas C. Montgomery in Front Matter, and Back Matter
See all 36 books this book cites
- Pharmaceutical Experimental Design (Drugs & the Pharmaceutical Sciences) (Drugs and the Pharmaceutical Sciences) by Lewis on 6 pages
- Response Surfaces (Statistics: A Series of Textbooks and Monographs) by Andre I. Khuri on 5 pages
- Fundamental Concepts in the Design of Experiments by Charles R. Hicks on 4 pages
- Service Design for Six Sigma: A Roadmap for Excellence by Basem El-Haik on page 11, and Back Matter
- Integrating Productivity and Quality Management (Industrial Engineering: A Series of Reference Books and Textboo) by Johnson Edosomwan on page 189, and page 376
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