Wiley Series in Probability and Statistics: Response Surface Methodology 3rd Ed.

Description: Response Surface Methodology: Process and Product Optimization Using Designed Experiments Brand NewHard Cover 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."—Journal of Quality TechnologyComplete 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. Editorial ReviewsReview“This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.Working with the most useful software packages, the authors bring an applied focus that emphasizes models useful in industry for product and process design and development.” (Zentralblatt Math, 1 October 2013)"The third edition of a well-regarded text on response surface methodology. Christine M. Anderson-Cook, has been added … [bringing] an applied perspective to the material." (Mathematical Reviews, December 2009)From the Back CoverPraise 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."—Journal of Quality TechnologyComplete 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:Inclusion of split-plot designs in discussion of two-level factorial designs, two-level fractional factorial designs, steepest ascent, and second-order modelsA new section on the Hoke design for second-order response surfacesNew material on experiments with computer modelsUpdated optimization techniques useful in RSM, including multiple responsesThorough treatment of presented examples and experiments using JMP® 7, Design-Expert® Version 7, and SAS® software packagesRevised and new exercises at the end of each chapterAn extensive references section, directing the reader to the most current RSM researchAssuming 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.

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Location: Newark, Delaware

End Time: 2025-01-29T04:46:57.000Z

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