Chemometrics: Statistics and Computer Application in Analytical Chemistry

Chemometrics: Statistics and Computer Application in Analytical Chemistry

Otto, Matthias

78,00 €(IVA inc.)

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. INDICE: What is Chemometrics?. Basic Statistics. Signal Processing and Time–Series Analysis. Asymmetric Least Squares Smoothing Correction (AsLS). Peak alignment methods. Optimization and Experimental Design. Supersaturated design. Pattern Recognition and Classification. Confusion matrix. Tree based clustering/classification. Modeling. Orthogonal signal correction. Independent Component Analysis (ICA). Robust methods. Orthogonal Partial Least Squares (OPLS). Multivariate Curve Resolution (MCR). Re–sampling techniques (bootstrapping /jackknifing). Bagging/Boosting. Analytical Databases. New data exchange formats: Netcdf, mzXML, etc.. Molecular structure generation/elucidation. Molecular descriptors and QSAR/QSPR examples. Knowledge Processing and Soft Computing. Ant colony algorithm. Dynamic neural networks?. Quality Assurance and Good Laboratory Practice. Update of directives. Appendix. Software update. Extend table III

  • ISBN: 978-3-527-34097-2
  • Editorial: Wiley VCH
  • Encuadernacion: Rústica
  • Páginas: 384
  • Fecha Publicación: 09/11/2016
  • Nº Volúmenes: 1
  • Idioma: Inglés