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.
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.
Since 2016, Matthias Otto is Professor emeritus of Analytical Chemistry at the TU Bergakademie Freiberg in Germany. He was born in Dresden (Germany) and did all entire studies at the University of Leipzig. In 1984 he moved to Freiberg (Germany) as a lecturer and was appointed full Professor there in 1987. He has taught almost all aspects of Analytical Chemistry, mainly within the curricula of chemistry, applied sciences and geoecology, and organizes courses in basic and advanced chemometrics. He is author and editor of successful textbooks in analytical chemistry.
Inhaltsangabe
What is Chemometrics?Basic StatisticsSignal Processing and Time-Series AnalysisAsymmetric Least Squares Smoothing Correction (AsLS)Peak alignment methodsOptimization and Experimental DesignSupersaturated designPattern Recognition and ClassificationConfusion matrixTree based clustering/classificationModelingOrthogonal signal correctionIndependent Component Analysis (ICA)Robust methodsOrthogonal Partial Least Squares (OPLS)Multivariate Curve Resolution (MCR)Re-sampling techniques (bootstrapping /jackknifing)Bagging/BoostingAnalytical DatabasesNew data exchange formats: Netcdf, mzXML, etc.Molecular structure generation/elucidationMolecular descriptors and QSAR/QSPR examplesKnowledge Processing and Soft ComputingAnt colony algorithmDynamic neural networks?Quality Assurance and Good Laboratory PracticeUpdate of directivesAppendixSoftware updateExtend table III
What is Chemometrics?Basic StatisticsSignal Processing and Time-Series AnalysisAsymmetric Least Squares Smoothing Correction (AsLS)Peak alignment methodsOptimization and Experimental DesignSupersaturated designPattern Recognition and ClassificationConfusion matrixTree based clustering/classificationModelingOrthogonal signal correctionIndependent Component Analysis (ICA)Robust methodsOrthogonal Partial Least Squares (OPLS)Multivariate Curve Resolution (MCR)Re-sampling techniques (bootstrapping /jackknifing)Bagging/BoostingAnalytical DatabasesNew data exchange formats: Netcdf, mzXML, etc.Molecular structure generation/elucidationMolecular descriptors and QSAR/QSPR examplesKnowledge Processing and Soft ComputingAnt colony algorithmDynamic neural networks?Quality Assurance and Good Laboratory PracticeUpdate of directivesAppendixSoftware updateExtend table III
Rezensionen
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