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Chemometrics with R
Multivariate Data Analysis in the Natural and Life Sciences
Taschenbuch von Ron Wehrens
Sprache: Englisch

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Beschreibung
This book offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a comprehensive description of the general data analysis paradigm, from exploratory analysis (principal component analysis, self-organizing maps and clustering) to modeling (classification, regression) and validation (including variable selection). It also includes a special section discussing several more specific topics in the area of chemometrics, such as outlier detection, and biomarker identification. The corresponding R code is provided for all the examples in the book; and scripts, functions and data are available in a separate R package. This second revised edition features not only updates on many of the topics covered, but also several sections of new material (e.g., on handling missing values in PCA, multivariate process monitoring and batch correction).
This book offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a comprehensive description of the general data analysis paradigm, from exploratory analysis (principal component analysis, self-organizing maps and clustering) to modeling (classification, regression) and validation (including variable selection). It also includes a special section discussing several more specific topics in the area of chemometrics, such as outlier detection, and biomarker identification. The corresponding R code is provided for all the examples in the book; and scripts, functions and data are available in a separate R package. This second revised edition features not only updates on many of the topics covered, but also several sections of new material (e.g., on handling missing values in PCA, multivariate process monitoring and batch correction).
Über den Autor

Ron Wehrens (1966) holds a PhD in Chemometrics from Radboud University Nijmegen, the Netherlands. He was a lecturer in Analytical Chemistry at the University of Twente, and later an Associate Professor at the Radboud University Nijmegen. From 2010 to 2014 he was group leader in Biostatistics and Data Analysis at the Fondazione Edmund Mach in San Michele all'Adige, Italy. Currently he holds a position at Wageningen University & Research, the Netherlands.

Zusammenfassung

Presents an easy, non-mathematical approach to multivariate statistics in the life sciences

Illustrated with examples that are fully reproducible

Provides the R codes discussed in the text

Inhaltsverzeichnis

Introduction. - Data.- Preprocessing.- Principal Component Analysis.- Self-Organizing Maps. - Clustering.- Classification.- Multivariate Regression. - Validation.- Variable Selection.- Chemometric Applications.

Details
Erscheinungsjahr: 2020
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 324
Reihe: Use R!
Inhalt: xvi
308 S.
29 s/w Illustr.
82 farbige Illustr.
308 p. 111 illus.
82 illus. in color. With online files/update.
ISBN-13: 9783662620267
ISBN-10: 366262026X
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Wehrens, Ron
Auflage: 2nd ed. 2020
Hersteller: Springer-Verlag GmbH
Springer Berlin Heidelberg
Use R!
Maße: 235 x 155 x 18 mm
Von/Mit: Ron Wehrens
Erscheinungsdatum: 21.08.2020
Gewicht: 0,493 kg
preigu-id: 118539139
Über den Autor

Ron Wehrens (1966) holds a PhD in Chemometrics from Radboud University Nijmegen, the Netherlands. He was a lecturer in Analytical Chemistry at the University of Twente, and later an Associate Professor at the Radboud University Nijmegen. From 2010 to 2014 he was group leader in Biostatistics and Data Analysis at the Fondazione Edmund Mach in San Michele all'Adige, Italy. Currently he holds a position at Wageningen University & Research, the Netherlands.

Zusammenfassung

Presents an easy, non-mathematical approach to multivariate statistics in the life sciences

Illustrated with examples that are fully reproducible

Provides the R codes discussed in the text

Inhaltsverzeichnis

Introduction. - Data.- Preprocessing.- Principal Component Analysis.- Self-Organizing Maps. - Clustering.- Classification.- Multivariate Regression. - Validation.- Variable Selection.- Chemometric Applications.

Details
Erscheinungsjahr: 2020
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 324
Reihe: Use R!
Inhalt: xvi
308 S.
29 s/w Illustr.
82 farbige Illustr.
308 p. 111 illus.
82 illus. in color. With online files/update.
ISBN-13: 9783662620267
ISBN-10: 366262026X
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Wehrens, Ron
Auflage: 2nd ed. 2020
Hersteller: Springer-Verlag GmbH
Springer Berlin Heidelberg
Use R!
Maße: 235 x 155 x 18 mm
Von/Mit: Ron Wehrens
Erscheinungsdatum: 21.08.2020
Gewicht: 0,493 kg
preigu-id: 118539139
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