Now updated and revised From the reviews of the First Edition . . . "Truly a book that can be read by practitioners...Anyone who deals with designing experiments, the statistical analysis and modeling of data, and especially product or process improvement, including optimization, should have this book as a reference." -Technometrics "An excellent book for practitioners. Ownership...is a professional necessity." -Journal of the American Statistical Association Identifying and fitting an appropriate response surface model from experimental data requires knowledge of statistical experimental design fundamentals, regression modeling techniques, and elementary optimization methods. This book integrates these three topics into a comprehensive, state-of-the-art presentation of response surface methodology (RSM). This new second edition has been substantially rewritten and updated to include new topics and material, new examples, and to more fully illustrate modern applications of RSM. The authors have made the computer a more integral part of their presentation, employing the most common and useful software packages. They bring an applied focus to the subject of RSM, emphasizing methods that are useful in industry for product and process design and development. Features include: * Coverage of two-level factorial and fractional factorial design, and empirical modeling of RSM * Optimization techniques useful in RSM, including multiple responses * Classical and modern response surface designs, including computer-generated designs * The RSM approach to robust parameter design and process robustness studies * Comprehensive treatment of mixture experiments * Revised and expanded end-of-chapter problems, an extensive reference section, and valuable technical appendices on RSM * Supported by Design-Expert software Response Surface Methodology develops the underlying theory of RSM, describes the assumptions and conditions necessary to successfully apply it, and provides comprehensive and authoritative discussion of current topics for statisticians, engineers, and students.
This is the first edited volume on response surface methodology (RSM).
Gets you quickly up and running with the full range of powerful statistical experimental design, modeling, and optimization techniques Coauthored by widely recognized experts in the fields of quality control...
This book not only presents a theoretical overview about the different approaches but also contains material that covers the use of the experimental analysis applied to several chemical processes.
This book continues where DOE Simplified leaves off in Chapter 8 with an introduction to "Response Surface Methods [RSM] for Optimization.
This edition contains chapters on response surface models with block effects and on Taguchi's robust parameter design, additional details on transformation of response variable, more material on modified ridge analysis, and new design ...
George E. P. Box, Norman R. Draper. Ž. Lind, E. E., Goldin, J., and Hickman, J. B. 1960. Fitting yield and cost response surfaces. Chemical Engineering Progress, 56, 62. Ž. Lindsay, B. G. 1989a. On the determinants of moment matrices.
The book is a joy to read. Everyone who practices or teaches DOE should read this book.
The shift to modelling food processes as a way of identifying and understanding the key variables at work is a major outgrowth of this trend.The editors and contributors explore the current trends in modelling, their strengths, and ...
How can I deliver tailored Response surface methodology advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk.
It explains how to use RRSM in experimental designs and regression analysis. The book addresses problems of RRS designs, such as rotatability, slope-rotatability, weak rotatability, and optimality.