Overview
Statistical design of experiments is useful in virtually every quantitative field
Use of the simplest experimental designs is pervasive
Practitioners interested in expanding their repertoire of tools will find this book a helpful guide
The examples from many fields will give the book broad appeal
Includes supplementary material: sn.pub/extras
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Table of contents (24 chapters)
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Front Matter
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Fractional Factorial Designs
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Front Matter
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Additional Topics
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Front Matter
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Appendices and Tables
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Front Matter
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Keywords
About this book
Factorial designs enable researchers to experiment with many factors. The 50 published examples re-analyzed in this guide attest to the prolific use of two-level factorial designs. As a testimony to this universal applicability, the examples come from diverse fields: Analytical Chemistry, Animal Science, Automotive Manufacturing, Ceramics and Coatings, Chromatography, Electroplating, Food Technology, Injection Molding, Marketing, Microarray Processing, Modeling and Neural Networks, Organic Chemistry, Product Testing, Quality Improvement, Semiconductor Manufacturing, and Transportation.
Focusing on factorial experimentation with two-level factors makes this book unique, allowing the only comprehensive coverage of two-level design construction and analysis. Furthermore, since two-level factorial experiments are easily analyzed using multiple regression models, this focus on two-level designs makes the material understandable to a wide audience. This book is accessible to non-statisticians having a grasp of least squares estimation for multiple regression and exposure to analysis of variance.
"This book contains a wealth of information, including recent results on the design of two-level factorials and various aspects of analysis… The examples are particularly clear and insightful." (William Notz, Ohio State University)
"One of the strongest points of this book for an audience of practitioners is the excellent collection of published experiments, some of which didn’t ‘come out’ as expected… A statistically literate non-statistician who deals with experimental design will have plenty of motivation to read this book, and the payback for the effort will be substantial." (Max Morris, Iowa State University)
Reviews
From the reviews:
“Robert Mee’s new work on two-level factorial designs is an unusually good statistics book, which should be bought and read by anyone with even a passing interest in the subject. This book covers almost everything users of two-level factorial designs need to know. Experimenters, statistical consultants, and researchers will all learn a lot and find plenty of new ideas to think about. …Careful thought has been given to how to describe every single topic. The result is a book that deserves to become a classic.” (Biometrics)
“Mee’s new book is … a comprehensive guide to factorial two-level experimentation. … I believe this book will help nonstatisticians and statisticians … plan and analyze factorial experiments correctly. The breadth, depth, and clarity of this book make it a valuable asset for anyone using two-level of factorial designs. The large number of examples … adds much to the book’s utility. … Overall, this is an excellent reference book … . it should be in the library of anyone who uses two-level factorial designs.” (Lewis VanBrackle, Technometrics, Vol. 52 (4), November, 2010)
Bibliographic Information
Book Title: A Comprehensive Guide to Factorial Two-Level Experimentation
Authors: Robert Mee
DOI: https://doi.org/10.1007/b105081
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag New York 2009
Hardcover ISBN: 978-0-387-89102-6Published: 01 July 2009
Softcover ISBN: 978-1-4899-8270-4Published: 05 September 2014
eBook ISBN: 978-0-387-89103-3Published: 23 June 2009
Edition Number: 1
Number of Pages: XXIII, 545
Topics: Statistical Theory and Methods, Chemistry/Food Science, general, Materials Science, general, Industrial and Production Engineering, Mechanical Engineering, Marketing