Description: Applied Compositional Data Analysis : With Worked Examples in R, Hardcover by Filzmoser, Peter; Hron, Karel; Templ, Matthias, ISBN 3319964208, ISBN-13 9783319964201, Brand New, Free shipping in the US 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 th. 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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Book Title: Applied Compositional Data Analysis : With Worked Examples in R
Number of Pages: Xvii, 280 Pages
Publication Name: Applied Compositional Data Analysis : with Worked Examples in R
Language: English
Publisher: Springer International Publishing A&G
Subject: Mathematical & Statistical Software, Probability & Statistics / General, Chemistry / General
Publication Year: 2018
Type: Textbook
Item Weight: 21.4 Oz
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Science
Author: Matthias Templ, Karel Hron, Peter Filzmoser
Series: Springer Series in Statistics Ser.
Item Width: 6.1 in
Format: Hardcover
