Design and Analysis of Experiments

This book describes the methods and techniques used in the design and analysis of experiments. It emphasizes the connection between the experiment and the model that the experimenter can develop from the results of the experiment and features a new chapter on experiments with random factors.

Learn how to achieve optimal experimentation

Edition after edition, Douglas Montgomery has provided statisticians, engineers, scientists, and managers with the most effective approach for learning how to design, conduct, and analyze experiments that optimize performance in products and processes. Now in this Sixth Edition, Montgomery has enhanced his best-selling text with timely new examples, expanded material on follow-up experimentation following a fractional factorial, and more coverage of split-plot designs.

You’ll learn how to use statistically designed experiments to:

• Obtain information for characterization and optimization of systems
• Improve manufacturing processes
• Design and develop new processes and products
• Evaluate material alternatives in product design
• Improve the field performance, reliability, and manufacturing aspects of products
• Learn how to conduct experiments effectively and efficiently

The book also illustrates two of today’s most powerful software tools for experimental design: Design-Expert® and Minitab®. Throughout the book, you’ll find output from these two programs, along with detailed discussion on how computers are currently used in the analysis and design of experiments. Data sets, supplemental materials, and sample projects are available online at www.wiley.com/college/montgomery.