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Response Surface Methodology Process and Product Optimization Using Designed Experiments

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ISBN-10: 1118916018

ISBN-13: 9781118916018

Edition: 4th 2016

Authors: Raymond H. Myers, Douglas C. Montgomery, Christine M. Anderson-Cook

List price: $114.00
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Description:

Complete with updates that capture the important advances in the field of experimental design, "Response Surface Methodology," Fourth 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 (now including JMP(R) and R), 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, computer-generated designs, non-normal responses, and missing data as well as the expanded integration of these concepts into computer software.
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Book details

List price: $114.00
Edition: 4th
Copyright year: 2016
Publisher: John Wiley & Sons, Limited
Publication date: 3/15/2016
Binding: Hardcover
Pages: 856
Size: 7.00" wide x 10.00" long x 1.75" tall
Weight: 3.828
Language: English

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.