Response Surface Methodology: Process and Product Optimization Using Designed Experiments / Edition 1

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Identifying 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, state-of-the-art presentation of response surface methodology (RSM). 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.
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Editorial Reviews

A practical guide to response surface methodology (RSM)--the process of identifying and fitting an appropriate response surface model from experimental data--for statisticians in fields including chemistry, engineering, quality control, computer science, industrial engineering, and the experimental sciences. While the opening chapter lays down the basic conceptual groundwork, the bulk of the volume is devoted to providing step-by-step guidance on the use of statistical and empirical modeling techniques that have proven their efficacy in industry. Numerous real-world examples illuminate critical points covered. Includes end-of-chapter problems. Annotation c. Book News, Inc., Portland, OR (
From The Critics
A textbook for a graduate level course on the optimization of response surfaces under experiment. The authors describe two-level factorial and fractional factorial designs, the method of steepest ascent, second-order response surfaces, designs for fitting response surface models, and experiments that involve mixtures. The second edition uses Design Expert version 6 for much of the computing. Annotation c. Book News, Inc., Portland, OR (
From the Publisher
"…illustrates very well modeling experimental data using regression and response surface ideas…I recommend it highly." (Journal of Statistical Computation and Simulation, January 2006)

"A textbook for a graduate level course on the optimization of response surfaces under experiment." (SciTech Book News, Vol. 26, No. 2, June 2002)

"...highly recommended for purchase by all readers of this journal..." (Technometrics, Vol. 44, No. 3, August 2002)

"This book remains an excellent choice as a well as for use by practitioners..." (Journal of the American Statistical Association, December 2002)

"...I recommend this book to anyone who would like a good, solid understanding of response surface methodology...easy to read, easy to understand, and very applicable...the examples are excellent and facilitate learning of the concepts and methods." (Journal of Quality Technology, Vol. 35, No. 4, October 2003)

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Product Details

  • ISBN-13: 9780471581000
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 1/28/1995
  • Series: Wiley Series in Probability and Statistics Series , #286
  • Edition description: Older Edition
  • Edition number: 1
  • Pages: 728
  • Product dimensions: 6.44 (w) x 9.59 (h) x 1.50 (d)

Table of Contents

1 Introduction

2 Building Empirical Models

3 Two-Level Factorial Designs

4 Two-Level Fractional Factorial Designs

5 Process Improvement with Steepest Ascent

6 The Analysis of Second-Order Response Surfaces

7 Experimental Designs for Fitting Response Surfaces - I

8 Experimental Designs for Fitting Response Surfaces - II

9 Advanced Topics in Response Surface Methodology

10 Robust Parameter Design and Process Robustness Studies

11 Experiments with Mixtures

12 Other Mixture Design and Analysis Techniques

Appendix 1 Moment Matrix of a Rotatable Design

Appendix 2 Rotatability of a Second-Order Equiradial Design


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