Response Surface Methodology: Process And Product Optimization Using Designed Experiments (Wiley Series In Probability And Stati

Response Surface Methodology: Process And Product Optimization Using Designed Experiments (Wiley Series In Probability And Stati

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Now Updated And Revisedfrom 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.TechnometricsAn Excellent Book For Practitioners. Ownership...Is A Professional Necessity.Journal Of The American Statistical Associationidentifying 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 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 Softwareresponse 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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Frequently Asked Questions

  • Q: What is the main focus of 'Response Surface Methodology'? A: The book focuses on response surface methodology (RSM), integrating statistical experimental design, regression modeling, and optimization methods to help practitioners optimize processes and products.
  • Q: Who is the author of this book? A: The book is authored by Raymond H. Myers.
  • Q: What edition of the book is available? A: This is the second edition of 'Response Surface Methodology'.
  • Q: How many pages does the book contain? A: The book contains a total of 824 pages.
  • Q: What are some key features of this book? A: Key features include coverage of two-level factorial designs, optimization techniques, classical and modern response surface designs, and comprehensive treatment of mixture experiments.
  • Q: What type of binding does the book have? A: The book is available in hardcover binding.
  • Q: Is this book suitable for beginners in statistics? A: While the book contains advanced topics, it serves as a comprehensive reference for both beginners and experienced practitioners interested in statistical design and optimization.
  • Q: When was this edition published? A: The second edition of 'Response Surface Methodology' was published on February 5, 2002.
  • Q: Does the book include software support? A: Yes, the book is supported by Design-Expert software, which is useful for applying RSM in practical scenarios.
  • Q: What can I expect to learn from this book? A: Readers can expect to learn how to identify and fit response surface models, apply optimization techniques, and understand robust parameter design and process robustness studies.