Points of View.
Software and Calculations.
2. EXPERIMENTAL DESIGN.
Central Composite or Response Surface Designs.
3. SIGNAL PROCESSING.
Sequential Signals in Chemistry.
Correlograms and Time Series Analysis.
Fourier Transform Techniques.
4. PATTERN RECOGNITION.
The Concept and Need for Principal Components Analysis.
Principal Components Analysis: the Method.
Unsupervised Pattern Recognition: Cluster Analysis.
Supervised Pattern Recognition.
Multiway Pattern Recognition.
Multiple Linear Regression.
Principal Components Regression.
Partial Least Squares.
6. EVOLUTIONARY SIGNALS.
Exploratory Data Analysis and Preprocessing.
A.1 Vectors and Matrices.
A.3 Basic Statistical Concepts.
A.4 Excel for Chemometrics.
A.5 Matlab for Chemometrics.
"In short, this is the best book that I have seen covering the entire field of modern chemometrics both for the academic and industrial user...I highly recommend it." (Technometrics, Vol. 46, No. 1, February 2004)
"...a useful introductory overview of a wide range of chemometric techniques..." (Organic Process Research & Development)
"...a pleasure to read this clear description of such a broad and complex area...worth its price..." (Zeitschrift fur Physikalische Chemie, Vol 218(2), 2004)
"...good job of explaining the nuts and bolts...recommend this book to anyone who wants to spend the time learning..." (Canadian Society of Forensic Science Journal, Vol 37(2), June 2004)
""...offers a comprehensive, practice-orientated examination of the field without overwhelming the reader with complex mathematics." (Metrohmm Information, Vol.33, No.3, 2004)
- Provides two chapters on the use of Excel and MATLAB for chemometrics analysis
- Contains 70 worked problems so that readers can gain a practical understanding of the use of chemometrics.