000			02158nam a22001937a 4500
005			20240207115136.0
008			240207b |||||||| |||| 00| 0 eng d
020			_a9783642368080
082			_a519.535 _bBOO
100			_aBoogaart, K. Gerald van den _914004
245			_aAnalyzing compositional data with R
260			_bSpringer _aSwitzerland _c2013
300			_a258 p.
365			_aEURO _b52.99
520			_aThis book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practical use in descriptive exploratory analysis, robust linear models and advanced multivariate statistical methods, including zeros and missing values, and paying special attention to data visualization and model display issues. Many illustrated examples and code chunks guide the reader into their modeling and interpretation. And, though the book primarily serves as a reference guide for the R package “compositions,” it is also a general introductory text on Compositional Data Analysis. Awareness of their special characteristics spread in the Geosciences in the early sixties, but a strategy for properly dealing with them was not available until the works of Aitchison in the eighties. Since then, research has expanded our understanding of their theoretical principles and the potentials and limitations of their interpretation. This is the first comprehensive textbook addressing these issues, as well as their practical implications with regard to software. The book is intended for scientists interested in statistically analyzing their compositional data. The subject enjoys relatively broad awareness in the geosciences and environmental sciences, but the spectrum of recent applications also covers areas like medicine, official statistics, and economics. Readers should be familiar with basic univariate and multivariate statistics. Knowledge of R is recommended but not required, as the book is self-contained.
650			_aCompositional Data _915235
700			_aTolosana-Delgado, Raimon _915236
942			_cBK _2ddc
999			_c5737 _d5737