Chemometrics
Statistics and Computer Application in Analytical Chemistry

3. Auflage November 2016
X, 383 Seiten, Softcover
201 Abbildungen
78 Tabellen
Lehrbuch
Kurzbeschreibung
Das umfangreichste Lehrbuch der Chemometrie: Sowohl als Einführung und aktuelles Referenzwerk deckt es alle relevanten Themenbereiche ab, von Grundlagen der Statistik über Modellierung und Datenbanken bis hin zu den neuesten regulatorischen Fragen.
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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.
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
Christian Lutz, TU Clausthal