Experimental design: a chemometric approach

Stanley N. Deming and Stephen L. Morgan (Eds.)0444891110, 9780444891112

Now available is the second edition of a book which has been described as “…an exceptionally lucid, easy-to-read presentation… would be an excellent addition to the collection of every analytical chemist. I recommend it with great enthusiasm.” (Analytical Chemistry)
N.R. Draper reviewed the first edition in Publication of the International Statistical Institute “…discussion is careful, sensible, amicable, and modern and can be recommended for the intended readership.”
The scope of the first edition has been revised, enlarged and expanded. Approximately 30% of the text is new. The book first introduces the reader to the fundamentals of experimental design. Systems theory, response surface concepts, and basic statistics serve as a basis for the further development of matrix least squares and hypothesis testing. The effects of different experimental designs and different models on the variance-covariance matrix and on the analysis of variance (ANOVA) are extensively discussed. Applications and advanced topics (such as confidence bands, rotatability, and confounding) complete the text. Numerous worked examples are presented.
The clear and practical approach adopted by the authors makes the book applicable to a wide audience. It will appeal particularly to those with a practical need (scientists, engineers, managers, research workers) who have completed their formal education but who still need to know efficient ways of carrying out experiments. It will also be an ideal text for advanced undergraduate and graduate students following courses in chemometrics, data acquisition and treatment, and design of experiments.

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Table of contents :
Content:
Edited by
Page III

Copyright page
Page IV

Dedication
Page IX

Preface to the first edition
Pages XI-XIII
S.N. Deming, S.L. Morgan

Preface to the second edition
Page XV
S.N. Deming, S.L. Morgan

Chapter 1 System Theory
Pages 1-23

Chapter 2 Response Surfaces
Pages 25-43

Chapter 3 Basic Statistics
Pages 45-57

Chapter 4 One Experiment
Pages 59-70

Chapter 5 Two Experiments
Pages 71-97

Chapter 6 Hypothesis Testing
Pages 99-117

Chapter 7 The Variance-Covariance Matrix
Pages 119-130

Chapter 8 Three Experiments
Pages 131-150

Chapter 9 Analysis of Variance (Anova) for Linear Models
Pages 151-175

Chapter 10 An Example of Regression Analysis on Existing Data
Pages 177-197

Chapter 11 A Ten-Experiment Example
Pages 199-225

Chapter 12 Approximating a Region of a Multifactor Response Surface
Pages 227-278

Chapter 13 Confidence Intervals for Full Second-Order Polynomial Models
Pages 279-315

Chapter 14 Factorial-Based Designs
Pages 317-360

Chapter 15 Additional Multifactor Concepts and Experimental Designs
Pages 361-392

Appendix A Matrix Algebra
Pages 393-411

Appendix B Critical Values of t
Page 413

Appendix C Critical Values of F, α=0.05
Page 415

Referances
Pages 417-428

Subject Index
Pages 429-437