Overview
- Covers design of experiments for a broad audience and is accessible for those who have little experience
- Contains exercises at the end of each chapter that make it a good alternative as a course reference
- Includes an in-depth presentation of 2^k and 2^(k-p) designs and their use in practice, and an introduction to Taguchi methods
- Provides downloadable data sets and a solutions manual for instructors
- Includes supplementary material: sn.pub/extras
- Request lecturer material: sn.pub/lecturer-material
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Table of contents (18 chapters)
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Front Matter
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Statistical Principles for Design of Experiments
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Front Matter
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Identifying Active Factors
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Front Matter
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Studying Factors’ Effects
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Front Matter
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Regression Analysis, Response Surface Designs, and Other Topics
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Front Matter
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Keywords
- design of experiements
- factorial designs
- level
- factor
- hypothesis testing
- statistical model
- ANOVA
- multiple comparison
- nested designs
- Latin-square designs
- fractional-factorial designs
- confounding
- Taguchi
- regression
- response surface methodology
- Box-Behnken design
- central-composite designs
- mixture designs
- triangular surfaces
About this book
This text introduces and provides instruction on the design and analysis of experiments for a broad audience. Formed by decades of teaching, consulting, and industrial experience in the Design of Experiments field, this new edition contains updated examples, exercises, and situations covering the science and engineering practice. This text minimizes the amount of mathematical detail, while still doing full justice to the mathematical rigor of the presentation and the precision of statements, making the text accessible for those who have little experience with design of experiments and who need some practical advice on using such designs to solve day-to-day problems. Additionally, an intuitive understanding of the principles is always emphasized, with helpful hints throughout.Â
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Authors and Affiliations
About the authors
Dr. Paul D. Berger has been teaching Experimental Design at the Massachusetts Institute of Technology for over 40 years and continues to do so. He had an academic appointment for 37 years at Boston University and has had an academic appointment for the last 10 years at Bentley University. He is currently the Director of Bentley University’s Master of Science in Marketing Analytics (MSMA) program, in which he also teaches Experimental Design, as well as Marketing Research and Statistics. He is the author of over 200 peer-reviewed articles and conference proceedings, as well as six texts, his latest in 2015, co-authored with Michael Fritz, Improving the User Experience Through Practical Data Analytics. His research has been incorporated into Government-agency reports and presented at conferences worldwide. In 2015, he taught his Experimental Design class at a Deakin University in Melbourne, Australia. Professor Berger continues to provide consulting services in thearea of Experimental Design and Quantitative Methods/Statistics in general to numerous companies. His clients have included companies such as Duracell®, Gillette®, Texas Instruments, and many others; in addition, Professor Berger has provided consulting services internationally, including in China, Japan, India, and Argentina.
Dr. Robert E. Maurer has more than 35 years of industrial experience at Bell Telephone Laboratories. For most of that period, in collaboration with the National Security Agency, he worked on protecting domestic radio and satellite communications, and ultimately led the development and deployment of the largest (in terms of the amount of traffic protected) communications-security system ever installed by anyone anywhere at the time. After that, he collaborated with Walter G. Deeley, the Deputy Director for Communications Security at NSA, to demonstrate the feasibility of a secure-voice terminal (STU 3) for classified point-to-point communications. Finally, he led the AT&T STU 3 development program. In his last assignment, he was responsible for process and product design and manufacture of a several-hundred-million-dollar product line of hybrid integrated circuits. Through his initiative and guidance, the disciplines of statistical process control and experimental design were deployed throughout his organization, leading to improved quality and reduced cost. Dr. Maurer has more than 35 years of experience teaching in the areas of statistical communication theory at the Graduate School of Engineering at Northeastern University and a variety of quantitative courses at the Questrom School of Management at Boston University. He has published numerous papers and hold patents in the communications and encryption areas. Dr. Maurer earned his Bachelor and Master of Science and Doctoral degrees in Electric Engineering from Northeastern University, and an MBA from Boston University.
Dr. Giovana B. Celli is a consultant for Brazilian and Canadian companies and is currently a Postdoctoral Researcher at the Department of Food Science at Cornell University. She has been working as food technologist and researcher for over eight years, and has developed several products currently on the market. She has also mentored and co-advised several students and researchers on design of experiments and has served as an invited reviewer for various pharmaceutical and food-related journals. Dr. Celli earned her Bachelor degree in Pharmacy and Master degree in Food Technology from Universidade Federal do Paraná (Brazil) and Doctoral degree in Biological Engineering from Dalhousie University (Canada). She met Dr. Berger at the Professional Education course in Design and Analysis of Experiments, at MIT.
Bibliographic Information
Book Title: Experimental Design
Book Subtitle: With Application in Management, Engineering, and the Sciences.
Authors: Paul D. Berger, Robert E. Maurer, Giovana B. Celli
DOI: https://doi.org/10.1007/978-3-319-64583-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2018
Softcover ISBN: 978-3-319-64582-7Published: 07 December 2017
eBook ISBN: 978-3-319-64583-4Published: 28 November 2017
Edition Number: 2
Number of Pages: XVIII, 639
Number of Illustrations: 9 b/w illustrations, 150 illustrations in colour
Topics: Statistical Theory and Methods, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences