Introduction to multivariate statistical analysis in chemometrics
General Material Designation
[Book]
First Statement of Responsibility
/ Kurt Varmuza, Peter Filzmoser
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Boca Raton
Name of Publisher, Distributor, etc.
: CRC Press,
Date of Publication, Distribution, etc.
, c2009.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xiii, 321 p. , ill. , 25 cm.
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Electronic
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
CONTENTS NOTE
Text of Note
"Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical Analysis in Chemometrics presents simple yet thorough explanations of the most important multivariate statistical methods for analyzing chemical data. It includes discussions of various statistical methods, such as principal component analysis, regression analysis, classification methods, and clustering." "Written by a chemometrician and a statistician, the book reflects both the practical approach of chemometrics and the more formally oriented one of statistics. To enable a better understanding of the statistical methods, the authors apply them to real data examples from chemistry. They also examine results of the different methods, comparing traditional approaches with their robust counterparts. In addition, the authors use the freely available R package to implement methods, encouraging readers to go through the examples and adapt the procedures to their own problems."--BOOK JACKET.
Text of Note
Multivariate data -- Principal component analysis -- Calibration -- Classification -- Cluster analysis -- Preprocessing -- Appendix 1 : Symbols and abbreviations -- Appendix 2 : Matrix algebra -- Appendix 3 : Introduction to R.