The eighth edition of Design and Analysis of Experiments continues to provide extensive and in-depth information on engineering, business and statistics as well as informative ways to help readers design and analyze experiments for improving the quality, efficiency and performance of working systems. Furthermore, the text maintains its comprehensive coverage by including new examples, exercises and problems, new topics and problems in the area of response surface, new topics in nested and split plot design, and the residual maximum likelihood method is now emphasized throughout the book.
Special Features
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Includes new software examples taken from Minitab, JMP and SAS
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Presents new examples and exercises that illustrate the use of designed experiments in service and transactional organizations
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Offers expanded coverage on optimal designs that is reinforced with computer software examples
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Discusses new developments on robust design as well as the latest software techniques
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Examines the new features of Design-Expert V7
Preface
Chapter 1 : Introduction to Designed Experiments
Chapter 2 : Basic Statistical Methods
Chapter 3 : Analysis of Variance
Chapter 4 : Experiments with Blocking Factors
Chapter 5 : Factorial Experiments
Chapter 6 : Two-Level Factorial Designs
Chapter 7 : Blocking and Confounding Systems for Two-Level Factorials
Chapter 8 : Two-Level Fractional Factorial Designs
Chapter 9 : Other Topics on Factorial and Fractional Factorial Designs
Chapter 10 : Regression Modeling
Chapter 11 : Response Surface Methodology
Chapter 12 : Robust Design
Chapter 13 : Random Effects Models
Chapter 14 : Experiments with Nested Factors and Hard-to-Change Factors
Chapter 15 : Other Topics
Appendix
Bibliography
Index
