Design and Analysis of Experiments, 6/e
Douglas C. Montgomery
- 出版商: Wiley
- 出版日期: 2004-12-27
- 售價: $1,170
- 貴賓價: 9.8 折 $1,147
- 語言: 英文
- 頁數: 660
- 裝訂: Hardcover
- ISBN: 047148735X
- ISBN-13: 9780471487357
Now in its 6th edition, this bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments.
Douglas Montgomery arms readers with the most effective approach for learning how to design, conduct, and analyze experiments that optimize performance in products and processes. He shows how to use statistically designed experiments to obtain information for characterization and optimization of systems, improve manufacturing processes, and design and develop new processes and products. You will also learn how to evaluate material alternatives in product design, improve the field performance, reliability, and manufacturing aspects of products, and conduct experiments effectively and efficiently.
Discover how to improve the quality and efficiency of working systems with this highly-acclaimed book. This 6th Edition:
- Places a strong focus on the use of the computer, providing output from two software products: Minitab and DesignExpert.
- Presents timely, new examples as well as expanded coverage on adding runs to a fractional factorial to de-alias effects.
- Includes detailed discussions on how computers are currently used in the analysis and design of experiments.
- Offers new material on a number of important topics, including follow-up experimentation and split-plot design.
- Focuses even more sharply on factorial and fractional factorial design.
Table of Contents
Chapter 1. Introduction.
Chapter 2. Simple Comparative Experiments.
Chapter 3. Experiments with a Single Factor: The Analysis of Variance.
Chapter 4. Randomized Blocks, Latin Squares, and Related Designs.
Chapter 5. Introduction to Factorial Designs.
Chapter 6. The 2k Factorial Design.
Chapter 7. Blocking and Confounding in the 2k Factorial Design.
Chapter 8. Two-Level Fractional Factorial Designs.
Chapter 9. Three-Level and Mixed-Level Factorial and Fractional Factorial Designs.
Chapter 10. Fitting Regression Models.
Chapter 11. Response Surface methods and Designs.
Chapter 12. Robust Parameter Design and Process Robustness Studies.
Chapter 13. Experiments with Random Factors.
Chapter 14. Nested and Split-Plot Designs.
Chapter 15. Other Design and Analysis Topics.
Table I: Cumulative Standard Normal Distribution.
Table II: Percentage Points of the t Distribution.
Table III: Percentage Points of the X2 Distribution.
Table IV: Percentage Points of the F Distribution.
Table V: Operating Characteristic Curves for the Fixed Effects Model Analysis of Variance.
Table VI: Operating Characteristic Curves for the Random Effects Model Analysis of Variance.
Table VII: Percentage Points of the Studentized Range Statistic.
Table VIII: Critical Values for Dunnett's Test for Comparing Treatments with a Control.
Table IX: Coefficients of Orthogonal Polynomials.
Table X: Alias Relationships for 2k-p Fractional Factorial Designs with K<15 and n<6f4. <p>« 15 and n « 64.