Introduction to Multivariate Statistical Analysis in Chemometrics

Using only a short segment of matrix algebra for the description of methods, this work presents explanations of the important multivariate statistical methods used for analyzing chemical data. It demonstrates methods using the R software package, considering also robust methods, providing software tools and demo data from chemistry fields.

Autorentext
Kurt Varmuza, Peter Filzmoser

Klappentext
Using formal descriptions, graphical illustrations, practical examples, and R software tools, this text presents simple yet thorough explanations of the most important multivariate statistical methods for analyzing chemical data.


Inhalt
Introduction. Multivariate Data. Principal Component Analysis. Calibration. Classification. Cluster Analysis. Preprocessing. Appendices. Index.

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