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portada Applied Compositional Data Analysis: With Worked Examples in r (Springer Series in Statistics)
Type
Physical Book
Publisher
Year
2018
Language
English
Pages
280
Format
Hardcover
ISBN13
9783319964201
Edition No.
1

Applied Compositional Data Analysis: With Worked Examples in r (Springer Series in Statistics)

Peter Filzmoser; Karel Hron; Matthias Templ (Author) · Springer · Hardcover

Applied Compositional Data Analysis: With Worked Examples in r (Springer Series in Statistics) - Peter Filzmoser; Karel Hron; Matthias Templ

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Synopsis "Applied Compositional Data Analysis: With Worked Examples in r (Springer Series in Statistics) "

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.

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