Chemometrics: Statistics and Computer Application in Analytical Chemistry

Bol

Explore chemometrics from basic statistics to the latest artificial intelligence and neural network developments in this new edition Chemometrics is an area of study combining chemistry and mathematics. It governs the interpretation of data generated by chemical analysis, and its growth as a subfield promises to streamline and revolutionize analytical chemistry. Chemometrics has long been the leading introductory textbook in this subject. Beginning with an introduction to the statistical-mathematical evaluation of chemical measurements, it leads readers through modern chemometric approaches in a pedagogically sound and highly readable style. Now fully updated to reflect the latest research and applications of this exciting discipline, it provides essential tools for a new generation of analytical chemists. Readers of the fourth edition of Chemometrics will also find: New or expanded treatment of subjects such as deep learning, ANNOVA simultaneous component analysis, instrumental data output, and more Detailed discussion of approaches to signal processing, design and optimization of experiments, pattern recognition and classification, and many other areas Balance of theoretical and practical knowledge to enable rapid application of key techniques Chemometrics is ideal for advanced students in chemistry, analytical chemistry, pharmaceutical chemistry, biochemistry, or related subjects, and as a useful reference for practicing researchers and laboratory professionals. Chemometrics Explore chemometrics from basic statistics to the latest artificial intelligence and neural network developments in this new edition Chemometrics is an area of study combining chemistry and mathematics. It governs the interpretation of data generated by chemical analysis, and its growth as a subfield promises to streamline and revolutionize analytical chemistry. Chemometrics has long been the leading introductory textbook in this subject. Beginning with an introduction to the statistical-mathematical evaluation of chemical measurements, it leads readers through modern chemometric approaches in a pedagogically sound and highly readable style. Now fully updated to reflect the latest research and applications of this exciting discipline, it provides essential tools for a new generation of analytical chemists. Readers of the fourth edition of Chemometrics will also find: New or expanded treatment of subjects such as deep learning, ANNOVA simultaneous component analysis, instrumental data output, and more Detailed discussion of approaches to signal processing, design and optimization of experiments, pattern recognition and classification, and many other areas Balance of theoretical and practical knowledge to enable rapid application of key techniques Chemometrics is ideal for advanced students in chemistry, analytical chemistry, pharmaceutical chemistry, biochemistry, or related subjects, and as a useful reference for practicing researchers and laboratory professionals.

Bol Partner

The chemometrics textbook with the widest coverage: Serving as both an introductory text and state-of-the-art reference, it covers all relevant subjects from basic statistics, via modeling and databases right up to the latest regulatory issues. The third edition of this long-selling introductory textbook and ready reference covers all pertinent topics, from basic statistics via modeling and databases right up to the latest regulatory issues. The experienced and internationally recognized author, Matthias Otto, introduces the statistical-mathematical evaluation of chemical measurements, especially analytical ones, going on to provide a modern approach to signal processing, designing and optimizing experiments, pattern recognition and classification, as well as modeling simple and nonlinear relationships. Analytical databases are equally covered as are applications of multiway analysis, artificial intelligence, fuzzy theory, neural networks, and genetic algorithms. The new edition has 10% new content to cover such recent developments as orthogonal signal correction and new data exchange formats, tree based classification and regression, independent component analysis, ensemble methods and neuro-fuzzy systems. It still retains, however, the proven features from previous editions: worked examples, questions and problems, additional information and brief explanations in the margin.

Amazon

Pagina's: 432, Editie: 4, Paperback, Wiley-VCH GmbH