This book is intended to fill the gap between the developers of chemometric methods and the potential users, particularly those who have not had specialist training in chemometrics. Minimizing the use of matrix algebra and statistics, it concentrates instead on extensive graphics and simple numerical examples. These were produced using spreadsheets and programmable calculators, enabling the reader to follow the text without having to resort to specialist software packages. The author unifies, as far as is possible, all branches of chemometrics such as experimental design, signal processing, pattern recognition, and entropy methods. A knowledge of statistics is not required. The potential for chemometrics is vast. Possible applications include designing and optimizing organic syntheses, quality control of manufacturing processes, interpretation and acquisition of spectroscopic and chromatographic data. Chemometrics is particularly important in industrial processes.
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