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Synopsis
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 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.
Focusing on the practicality of the methods and the validity of the results, this book offers concise mathematical descriptions of many multivariate methods and employs graphical schemes to visualize key concepts. It effectively imparts a basic understanding of how to apply statistical methods to multivariate scientific data.
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Vienna Univ of Technology, Austria Vienna University of Technology, Austria
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Introduction to Multivariate Statistical Analysis in Chemometrics
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Introduction to Multivariate Statistical Analysis in Chemometrics
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CRC Press Feb 2009, 2009
ISBN 10 : 1420059475
ISBN 13 : 9781420059472
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 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.Focusing on the practicality of the methods and the validity of the results, this book offers concise mathematical descriptions of many multivariate methods and employs graphical schemes to visualize key concepts. It effectively imparts a basic understanding of how to apply statistical methods to multivariate scientific data. 336 pp. Englisch. N° de réf. du vendeur 9781420059472
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Introduction to Multivariate Statistical Analysis in Chemometrics
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Taylor & Francis Group, 2008
ISBN 10 : 1420059475
ISBN 13 : 9781420059472
Neuf
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
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INTRO TO MULTIVARIATE STATISTI
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Kurt Varmuza, Peter FilzmoserUsing formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical Analysis in Chemometrics presents simple yet thorough explanation. N° de réf. du vendeur 595754370
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Introduction to Multivariate Statistical Analysis in Chemometrics
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 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.Focusing on the practicality of the methods and the validity of the results, this book offers concise mathematical descriptions of many multivariate methods and employs graphical schemes to visualize key concepts. It effectively imparts a basic understanding of how to apply statistical methods to multivariate scientific data. N° de réf. du vendeur 9781420059472
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Introduction to Multivariate Statistical Analysis in Chemometrics
Edité par
Taylor & Francis Group, 2008
ISBN 10 : 1420059475
ISBN 13 : 9781420059472
Neuf
Couverture rigide
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Introduction to Multivariate Statistical Analysis in Chemometrics
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Introduction to Multivariate Statistical Analysis in Chemometrics
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Hardcover. Etat : New. In shrink wrap. Looks like an interesting title! N° de réf. du vendeur Q-1420059475
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Introduction to Multivariate Statistical Analysis in Chemometrics
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Introduction to Multivariate Statistical Analysis in Chemometrics
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HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L1-9781420059472
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