The seventh edition of Design and Analysis of Experiments helps working practitioners and students to design and analyze experiments for improving the quality and efficiency of working systems.

The seventh edition maintains its comprehensive coverage by including new examples, exercises, and problems and expanding the material on optimal designs and robust design. Continuing to place a strong focus on the use of the computer, the new edition includes more software examples taken from the four most dominant programs in the field: Design-Expert, Minitab, JMP, and SAS.

Contents

1. Introduction
2. Simple Comparative Experiments
3. Experiments with a Single Factor: The Analysis of Variance
4. Randomized Blocks, Latin Squares, and Related Designs
5. Introduction to Factorial Designs
6. The 2k Factorial Design
7. Blocking and Confounding in the 2k Factorial Design
8. Two-Level Fractional Factorial Designs
9. Three-Level and Mixed-Level Factorial and Fractional Factorial Designs
10. Fitting Regression Models
11. Response Surface Methods and Designs
12. Robust Parameter Design and Process Robustness Studies
13. Experiments with Random Factors
14. Nested and Split-Plot Designs
15. Other Design and Analysis Topics

Tables

Index

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