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Résumé :
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This new textbook isespecially suited to give you a comprehensive overview of all areas of chemometrics. Based on the most important fundamentals of statistics, the author provides a modern approach to signal processing, designing and optimizing experiments, pattern recognition and classification as well as modeling simple and nolinear relationships. Analytical databases are covered as well as applications of artificial intelligence, fuzzy theory, neural networks, or genetic algorithms. Numerous worked examples and helpful comments in the margin make reading and understanding easy. Students of chemistry , pharmacy, bichemistry, or ecology will find evrything they need to know about chemometrics. Also scientists in industry and research will find this book a useful introduction.
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