Design and Analysis of Experiments

Angela Dean, Daniel Voss, Danel Draguliic

Springer

2017

Abstract

The book Design and Analysis of Experiments provides a rigorous introduction to product and process design improvement through quality and performance optimization. Clear demonstration of widely practiced techniques and procedures allows readers to master fundamental concepts, develop design and analysis skills, and use experimental models and results in real-world applications. Detailed coverage of factorial and fractional factorial design, response surface techniques, regression analysis, biochemistry and biotechnology, single factor experiments, and other critical topics offer highly-relevant guidance through the complexities of the field.

The contents of the book include 15 chapters:

+ 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 10 Fitting Regression Models

+ Chapter 11 Response Surface Methods and Designs