Experience Response Surface Methodology: Process And Product Optimization Using Designed Experiments Showcased By Raymond H. Myers Exhibited In Leaflet

Raymond H. Myers on Response Surface Methodology: Process And Product Optimization Using Designed Experiments

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, stateoftheart presentation of response surface methodology RSM,
This new second edition has been substantially rewritten and updated to include
Experience Response Surface Methodology: Process And Product Optimization Using Designed Experiments Showcased By Raymond H. Myers Exhibited In Leaflet
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 twolevel 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 computergenerated designs
The RSM approach to robust parameter design and process robustness studies
Comprehensive treatment of mixture experiments
Revised and expanded endofchapter problems, an extensive reference section, and valuable technical appendices on RSM
Supported by DesignExpert 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.
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