Response Surface Methodology: Process and Product Optimization Using Designed Experiments (Wiley Series in Probability and Statistics)

Book Details:

• Author: Raymond H. Myers

• Edition: 3rd

• Binding: Hardcover

• Pages: 704

• Release Date: 27-01-2009

• EAN: 9780470174463

• Package Dimensions: 9.9 x 7.2 x 1.5 inches

• Languages: English

About The Book:

"Response Surface Methodology, Third Edition" by Raymond H. Myers provides a thorough introduction to response surface methodology (RSM), a statistical technique for optimizing processes in research and industrial applications. This updated edition offers a complete guide to the essential statistical experimental design, regression modeling techniques, and optimization methods needed to fit response surface models from experimental data.

The book provides an accessible approach, making RSM approachable for students and professionals in the fields of statistics, engineering, and the physical sciences. It incorporates numerous new examples and updated software tools like JMP 7, Design-Expert Version 7, and SAS to illustrate modern applications of RSM.

Key Features:

• Updated Content: The third edition has been substantially revised with new topics, examples, and exercises to reflect the latest advancements in RSM.

• Practical Focus: Real-world examples and modern software packages (JMP 7, SAS, and Design-Expert Version 7) are used to demonstrate the application of RSM in product and process design.

• Expanded Coverage: New sections cover split-plot designs, optimal designs for RSM, robust design, and experiments with restrictions on randomization.

• New Material on Computer Models: A section has been added to discuss experiments using computer models.

• Updated Optimization Techniques: The book presents up-to-date techniques for handling multiple responses and advanced RSM methods.

• Software Integration: The text includes detailed examples of how to apply RSM using popular statistical software, enhancing its accessibility for both students and practitioners.

Why This Book is Important:

• Comprehensive Resource: The book serves as a complete guide to response surface methodology, essential for anyone working with statistical models, experimental design, and optimization.

• Relevant for Multiple Disciplines: Whether in engineering, physical sciences, or industrial applications, the techniques in this book are applicable across various fields that require process optimization.

• Ideal for Students and Professionals: The book is suitable for upper-undergraduate and graduate-level courses, as well as a reference for applied statisticians and engineers looking to implement RSM in real-world settings.

Ideal for:

• Students: Those studying statistics, engineering, and physical sciences at the undergraduate and graduate levels.

• Practicing Engineers and Statisticians: Professionals looking for a thorough, practical resource for implementing response surface methodology.

• Researchers: Ideal for anyone needing to understand or apply RSM in scientific or industrial research for process and product optimization.

"Response Surface Methodology, Third Edition" provides a modern and comprehensive look at RSM, making it a valuable resource for both learning and applying these essential techniques in statistical analysis and experimental design.