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Design and Analysis of Experiments / Edition 2

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Overview

"Across a wide range of fields - from industrial engineering to business and statistics - Douglas C. Montgomery's Design and Analysis of Experiments has been a foundational work for students and professionals needing to design, conduct, and analyze experiments for optimizing performance in products and processes." Placing a strong focus on the use of the computer, the new edition makes much more use of optimal designs and includes even more software examples than before, taken from the three most dominant programs in the field: Minitab, Design-Expert V7, and JMP. There is additional material discussing the latest developments in robust design and factorial designs along with fresh examples and exercises that illustrate the use of designed experiments in service and transactional organizations.
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Editorial Reviews

Booknews
An introductory textbook dealing with the design and analysis of experiments for engineering and science students who have completed a course in statistics. The fifth edition encourages incorporation of the computer during both design and analysis, and adds material on alphabetically optimal designs, experiments with mixtures, and the robust parameter design problem. Annotation c. Book News, Inc., Portland, OR booknews.com
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Product Details

  • ISBN-13: 9780471868125
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 12/7/1983
  • Edition description: 2nd ed
  • Edition number: 2
  • Pages: 538

Meet the Author

Douglas C. Montgomery Professor of Engineering and Statistics at Arizona State University, received his B.S., M.S., and Ph.D. degrees from Virginia Polytechnic Institute, all in engineering, from 1969 to 1984 he was a faculty member of the School of Industrial & Systems Engineering at the Georgia Institute of Technology; from 1984 to 1988 he was at the University of Washington, where he held the John M. Fluke Distinguished chair of Manufacturing Engineering, was Professor of Mechanical Engineering, and Director of the Program in industrial Engineering.

Dr. Montgomery has research and teaching interests in industrial statistics including statistical quality control techniques, design of experiments, regression analysis and empirical model building, and the application of operations research methodology to problems in manufacturing systems. He has authored and coauthored many technical papers in these fields and is an author of twelve other books. Dr. Montgomery is a Fellow of the American Society for Quality, a Fellow of the American Statistical Association, a Fellow of the Royal Statistical Society, a Fellow of the Institute of Industrial Engineers, and an Elected member of the International Statistical Institute. He is a Stewart Medallist of the American Society for Quality, and has also received the Brumbaugh Award, the William G. Hunter Award, and the Shewell Award(twice) from the ASQ. He is a recipient of the Ellis R. Ott Award. He is a former editor of the Journal of Quality Technology, the current editor of Quality and Reliability Engineering International, and serves on the editorial boards of several journals.

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Table of Contents

1 Introduction 1

2 Simple Comparative Experiments 23

3 Experiments with a Single Factor: The Analysis of Variance 60

4 Randomized Blocks, Latin Squares, and Related Designs 121

5 Introduction to Factorial Designs 162

6 The 2[superscript k] Factorial Design 207

7 Blocking and Confounding in the 2[superscript k] Factorial Design 273

8 Two-Level Fractional Factorial Designs 289

9 Three-Level and Mixed-Level Factorial and Fractional Factorial Designs 360

10 Fitting Regression Models 388

11 Response Surface Methods and Designs 417

12 Robust Parameter Design and Process Robustness Studies 486

13 Experiments with Random Factors 505

14 Nested and Split-Plot Designs 542

15 Other Design and Analysis Topics 577

Appendix 611

Bibliography 647

Index 653

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Customer Reviews

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