Téléchargez le livre : Applied Compositional Data Analysis

Applied Compositional Data Analysis

With Worked Examples in R de

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Éditeur :

Springer


Collection :

Springer Series in Statistics

Paru le : 2018-11-03

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Description
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.
Pages
280 pages
Collection
Springer Series in Statistics
Parution
2018-11-03
Marque
Springer
EAN papier
9783319964201
EAN PDF
9783319964225
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
28
Taille du fichier
7526 Ko
Prix
126,59 €
EAN EPUB
9783319964225
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
28
Taille du fichier
29952 Ko
Prix
126,59 €

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