Book description
Praise for the Second Edition:
"This book [is for] anyone who would like a good, solid
understanding of response surface methodology. The book is easy to
read, easy to understand, and very applicable. The examples are
excellent and facilitate learning of the concepts and methods."
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Journal of Quality Technology
Complete with updates that capture the important advances in the
field of experimental design, Response Surface Methodology,
Third Edition successfully provides a basic foundation for
understanding and implementing response surface methodology (RSM) in
modern applications. The book continues to outline the essential
statistical experimental design fundamentals, regression modeling
techniques, and elementary optimization methods that are needed to fit
a response surface model from experimental data. With its wealth of
new examples and use of the most up-to-date software packages, this
book serves as a complete and modern introduction to RSM and its uses
across scientific and industrial research.
This new edition maintains its accessible approach to RSM, with
coverage of classical and modern response surface designs. Numerous
new developments in RSM are also treated in full, including optimal
designs for RSM, robust design, methods for design evaluation, and
experiments with restrictions on randomization as well as the expanded
integration of these concepts into computer software. Additional
features of the Third Edition include:
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Inclusion of split-plot designs in discussion of two-level
factorial designs, two-level fractional factorial designs,
steepest ascent, and second-order models
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A new section on the Hoke design for second-order response surfaces
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New material on experiments with computer models
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Updated optimization techniques useful in RSM, including
multiple responses
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Thorough treatment of presented examples and experiments using
JMP 7, Design-Expert Version 7, and SAS software packages
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Revised and new exercises at the end of each chapter
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An extensive references section, directing the reader to the
most current RSM research
Assuming only a fundamental background in statistical models and
matrix algebra, Response Surface Methodology, Third Edition is
an ideal book for statistics, engineering, and physical sciences
courses at the upper-undergraduate and graduate levels. It is also a
valuable reference for applied statisticians and practicing engineers.
Raymond H. Myers, PhD, is Professor Emeritus in
the Department of Statistics at Virginia Polytechnic Institute and
State University. He has over forty years of academic experience in
the areas of experimental design and analysis, response surface
analysis, and designs for nonlinear models. A Fellow of the American
Statistical Society, Dr. Myers has authored or coauthored numerous
journal articles and books, including Generalized Linear Models:
With Applications in Engineering and the Sciences, also
published by Wiley.
Douglas C. Montgomery, PhD, is Regents' Professor of Industrial
Engineering and Statistics at Arizona State University. Dr. Montgomery
has over thirty years of academic and consulting experience and has
devoted his research to engineering statistics, specifically the
design and analysis of experiments. He has authored or coauthored
numerous journal articles and twelve books, including Generalized
Linear Models: With Applications in Engineering and the
Sciences; Introduction to Linear Regression Analysis,
Fourth Edition; and Introduction to Time Series Analysis and
Forecasting, all published by Wiley.
Christine M. Anderson-Cook, PhD, is Project Leader a t the Los
Alamos National Laboratory, New Mexico. Dr. Anderson-Cook has over ten
years of academic and consulting experience and has written numerous
journal articles on the topics of design of experiments and response
surface methodology.
