Chemometrics: Data Analysis for the Laboratory and Chemical Plant

Preface. Supplementary Information. Acknowledgements. 1. INTRODUCTION. Points of View. Software and Calculations. Further Reading. References. 2. EXPERIMENTAL DESIGN. Introduction. Basic Principles. Factorial Designs. Central Composite or Response Surface Designs. Mixture Designs. Simplex Optimisation. Problems. 3. SIGNAL PROCESSING. Sequential Signals in Chemistry. Basics. Linear Filters. Correlograms and Time Series Analysis. Fourier Transform Techniques. Topical Methods. Problems. 4. PATTERN RECOGNITION. Introduction. The Concept and Need for Principal Components Analysis. Principal Components Analysis: the Method. Unsupervised Pattern Recognition: Cluster Analysis. Supervised Pattern Recognition. Multiway…