Design and Analysis of Experiments

Douglas C. Montgomery

• Publisher: Wiley
• Year: 2023
• Print ISBN: 9781119816959
• eBook ISBN: 9781119816973
• Edition: 10
• Topic: Tecnología e ingeniería
• Subtopic: Ingeniería industrial

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.

Stressing the importance of both conceptual knowledge and practical skills, this text adopts a balanced approach to theory and application. Extensive discussion of modern software tools integrate data from real-world studies, while examples illustrate the efficacy of designed experiments across industry lines, from service and transactional organizations to heavy industry and biotechnology. Broad in scope yet deep in detail, this text is both an essential student resource and an invaluable reference for professionals in engineering, science, manufacturing, statistics, and business management.

Table of contents

• Cover
• Title Page
• Copyright
• Preface
• Contents
• Chapter 1 Problems
• Chapter 1 Introduction
• Chapter 2 Problems
• Chapter 2 Simple Comparative Experiments
• Chapter 3 Problems
• Chapter 3 Experiments with a Single Factor: The Analysis of Variance
• Chapter 4 Problems
• Chapter 4 Randomized Blocks, Latin Squares, and Related Designs
• Chapter 5 Problems
• Chapter 5 Introduction to Factorial Designs
• Chapter 6 Problems
• Chapter 6 The 2k Factorial Design
• Chapter 7 Problems
• Chapter 7 Blocking and Confounding in the 2k Factorial Design
• Chapter 8 Problems
• Chapter 8 Two‐Level Fractional Factorial Designs
• Chapter 9 Problems
• Chapter 9 Additional Design and Analysis Topics for Factorial and Fractional Factorial Designs
• Chapter 10 Problems
• Chapter 10 Fitting Regression Models
• Chapter 11 Problems
• Chapter 11 Response Surface Methods and Designs
• Chapter 12 Problems
• Chapter 12 Robust Parameter Design and Process Robustness Studies
• Chapter 13 Problems
• Chapter 13 Experiments with Random Factors
• Chapter 14 Problems
• Chapter 14 Nested and Split‐Plot Designs
• Chapter 15 Problems
• Chapter 15 Other Design and Analysis Topics
• Appendix
• Bibliography
• Index
• EULA