Chemometrics - Otto, Matthias
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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.

Produktbeschreibung
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.
  • Produktdetails
  • Verlag: Wiley-Vch
  • Artikelnr. des Verlages: 1134097 000
  • 3rd ed.
  • Erscheinungstermin: 9. November 2016
  • Englisch
  • Abmessung: 244mm x 169mm x 25mm
  • Gewicht: 758g
  • ISBN-13: 9783527340972
  • ISBN-10: 3527340971
  • Artikelnr.: 44965399
Autorenporträt
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 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/elucidationMolecular 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

- What is Chemometrics

- Basic Statistics

- Signal Processing and Time Series Analysis

- Experimental Design and Optimization

- Pattern Recognition

- Modelling

- Analytical Data Bases

- Knowledge Processing and Soft-Computing

- Quality Assurance and Good Laboratory Practice

What is Chemometrics

- Basic Statistics

- Signal Processing and Time Series Analysis

- Experimental Design and Optimization

- Pattern Recognition

- Modelling

- Analytical Data Bases

- Knowledge Processing and Soft-Computing

- Quality Assurance and Good Laboratory Practice