Link Download ebook Free: https://ouo.io/Cc6JgJC Applied Compositional Data Analysis With Worked Examples in R By: Peter Filzmoser; Karel Hron; Matthias Templ Publisher: Springer Print ISBN: 9783319964201, 3319964208 eText ISBN: 9783319964225, 3319964224 Copyright year: 2018 Format: EPUB Available from $ 109.00 USD SKU 9783319964225 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.
