Publication type: Book
Type of review: Editorial review
Title: Applied compositional data analysis : with worked examples in R
Authors: Filzmoser, Peter
Hron, Karel
Templ, Matthias
DOI: 10.1007/978-3-319-96422-5
Extent: 280
Issue Date: 2018
Edition: 1. Auflage
Series: Springer Series in Statistics (SSS)
Publisher / Ed. Institution: Springer
Publisher / Ed. Institution: Cham
ISBN: 978-3-319-96420-1
Language: English
Subjects: Compositional data analysis
Subject (DDC): 005: Computer programming, programs and data
Abstract: This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for compositional data analysis, such as supervised and unsupervised methods like PCA, correlation analysis, classification and regression. In addition, it considers special data structures like high-dimensional compositions and compositional tables. The methodology introduced is also frequently compared to methods which ignore the specific nature of compositional data. It focuses on practical aspects of compositional data analysis rather than on detailed theoretical derivations, thus issues like graphical visualization and preprocessing (treatment of missing values, zeros, outliers and similar artifacts) form an important part of the book. Since it is primarily intended for researchers and students from applied fields like geochemistry, chemometrics, biology and natural sciences, economics, and social sciences, all the proposed methods are accompanied by worked-out examples in R using the package robCompositions.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Appears in collections:Publikationen School of Engineering

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