Design and Analysis of Experiments, 8th Edition

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 (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.

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 2^k Factorial Design
CHAPTER 7 Blocking and Confounding in the 2^k Factorial Design
CHAPTER 8 Two-Level Fractional Factorial Designs
CHAPTER 9 Additional Design and Analysis Topics for 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