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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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- Q: What is the page count of this book? A: This book has eight hundred twenty-four pages. It provides comprehensive coverage of response surface methodology and its applications.
- Q: What are the dimensions of this book? A: The book measures six point five two inches in length, one point seven one inches in width, and nine point four seven inches in height. These dimensions make it a standard hardcover size.
- Q: What type of binding does this book have? A: This book is bound in hardcover. The hardcover binding provides durability and protection for frequent use.
- Q: Who is the author of this book? A: The author is Raymond H. Myers. He is known for his expertise in statistics and experimental design.
- Q: What topics does this book cover? A: This book covers response surface methodology, statistical experimental design, regression modeling techniques, and optimization methods. It's a comprehensive resource for practitioners.
- Q: How do I apply the methods in this book? A: You can apply the methods by following the structured examples and problems provided in the text. It emphasizes practical applications in industry.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners as well as experienced practitioners. It integrates fundamental concepts with advanced methodologies.
- Q: What kind of software is supported in this book? A: This book is supported by Design-Expert software. It helps users apply the concepts in practical scenarios.
- Q: Are there exercises in this book? A: Yes, there are revised and expanded end-of-chapter problems. These exercises reinforce the concepts covered in each chapter.
- Q: How can I ensure I understand the statistical concepts in this book? A: You can enhance your understanding by working through the examples and problems, as they are designed to illustrate the application of statistical concepts.
- Q: Can this book help with process optimization? A: Yes, this book provides methods that are useful for product and process optimization in various industrial applications. It’s a valuable resource for engineers.
- Q: What is response surface methodology? A: Response surface methodology is a statistical technique used for modeling and analyzing problems in which several variables influence the outcome. This book provides a comprehensive overview.
- Q: Does this book include modern applications of its concepts? A: Yes, the second edition includes modern applications of response surface methodology. It illustrates how these techniques are applied in contemporary settings.
- Q: Is this book a good reference for statisticians? A: Yes, this book serves as an excellent reference for statisticians, engineers, and students interested in experimental design and optimization.
- Q: How has this book been updated in its second edition? A: The second edition has been substantially rewritten to include new topics, examples, and a more integrated approach with software. It reflects current trends in the field.