Chemometrics with R - Multivariate Data Analysis in the Natural and Life Sciences (Paperback, 2nd ed. 2020)

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).

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Use R!
Release date:	August 2020
First published:	2020
Authors:	Ron Wehrens
Dimensions:	235 x 155 x 25mm (L x W x T)
Format:	Paperback
Pages:	308
Edition:	2nd ed. 2020
ISBN-13:	978-3-662-62026-7
Languages:	English
Subtitles:	English
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Chemistry > General Books > Science & Mathematics > Biology, life sciences > Molecular biology
LSN:	3-662-62026-X
Barcode:	9783662620267

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