Response Surfaces, Mixtures, and Ridge Analyses ( Wiley Series in Probability and Statistics )

Publication series :Wiley Series in Probability and Statistics

Author: George E. P. Box  

Publisher: John Wiley & Sons Inc‎

Publication year: 2007

E-ISBN: 9780470072752

P-ISBN(Hardback):  9780470053577

Subject: O212.6 Analysis and Testing

Language: ENG

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Description

The authority on building empirical models and the fitting of such surfaces to data—completely updated and revised

Revising and updating a volume that represents the essential source on building empirical models, George Box and Norman Draper—renowned authorities in this field—continue to set the standard with the Second Edition of Response Surfaces, Mixtures, and Ridge Analyses, providing timely new techniques, new exercises, and expanded material.

A comprehensive introduction to building empirical models, this book presents the general philosophy and computational details of a number of important topics, including factorial designs at two levels; fitting first and second-order models; adequacy of estimation and the use of transformation; and occurrence and elucidation of ridge systems.

Substantially rewritten, the Second Edition reflects the emergence of ridge analysis of second-order response surfaces as a very practical tool that can be easily applied in a variety of circumstances. This unique, fully developed coverage of ridge analysis—a technique for exploring quadratic response surfaces including surfaces in the space of mixture ingredients and/or subject to linear restrictions—includes MINITAB® routines for performing the calculations for any number of dimensions.

Many additional figures are included in the new edition, and new exercises (many based on data from published papers) offer insight into the methods used. The exercises and their solutions provide a variety of supplementary examples of response surface use, forming an extremely important component of the text.

Response Surfaces, Mixtures, and Ridge Analyses, Second Edition presents material in a logical and understandable arrangement and includes six new chapters covering an up-to-date presentation of standard ridge analysis (without restrictions); design and analysis of mixtures experiments; ridge analysis methods when there are linear restrictions in the experimental space including the mixtures experiments case, with or without further linear restrictions; and canonical reduction of second-order response surfaces in the foregoing general case.

Additional features in the new edition include:

  • New exercises with worked answers added throughout
  • An extensive revision of Chapter 5: Blocking and Fractionating 2k Designs
  • Additional discussion on the projection of two-level designs into lower dimensional spaces

This is an ideal reference for researchers as well as a primary text for Response Surface Methodology graduate-level courses and a supplementary text for Design of Experiments courses at the upper-undergraduate and beginning-graduate levels.

Chapter

Contents

pp.:  1 – 7

Preface to the Second Edition

pp.:  7 – 15

3. Least Squares for Response Surface Work

pp.:  33 – 45

4. Factorial Designs at Two Levels

pp.:  45 – 108

5. Blocking and Fractionating 2(k) Factorial Designs

pp.:  108 – 145

6. The Use of Steepest Ascent to Achieve Process Improvement

pp.:  145 – 203

7. Fitting Second-Order Models

pp.:  203 – 226

8. Adequacy of Estimation and the Use of Transformation

pp.:  226 – 286

9. Exploration of Maxima and Ridge Systems with Second-Order Response Surfaces

pp.:  286 – 319

10. Occurrence and Elucidation of Ridge Systems, I

pp.:  319 – 337

11. Occurrence and Elucidation of Ridge Systems, II

pp.:  337 – 357

12. Ridge Analysis for Examining Second-Order Fitted Models, Unrestricted Case

pp.:  357 – 407

13. Design Aspects of Variance, Bias, and Lack of Fit

pp.:  407 – 429

14. Variance-Optimal Designs

pp.:  429 – 477

15. Practical Choice of a Response Surface Design

pp.:  477 – 499

16. Response Surfaces for Mixture Ingredients

pp.:  499 – 525

17. Mixture Experiments in Restricted Regions

pp.:  525 – 551

18. Other Mixture Methods and Topics

pp.:  551 – 569

19. Ridge Analysis for Examining Second-Order Fitted Models When There Are Linear Restrictions on the Experimental Region

pp.:  569 – 611

20. Canonical Reduction of Second-Order Fitted Models Subject to Linear Restrictions

pp.:  611 – 635

Answers to Exercises

pp.:  635 – 645

Tables

pp.:  645 – 759

Bibliography

pp.:  759 – 773

Author Index

pp.:  773 – 867

Subject Index

pp.:  867 – 871

LastPages

pp.:  871 – 873

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