Design and Analysis of Experiments, 9th Edition continues to help senior and graduate students in engineering, business, and statistics-as well as working practitioners-to design and analyze experiments for improving the quality, efficiency and performance of working systems. This bestselling text maintains its comprehensive coverage by including: new examples, exercises, and problems (including in the areas of biochemistry and biotechnology); 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.
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: Additional Design and Analysis Topics for Factorial and Fractional Factorial Designs
Chapter 11: Response Surface Methods and Designs
Chapter 13: Experiments with Random Factors
Chapter 14: Nested and Split-Plot Designs
