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Michael Greenacre: Compositional Data Analysis in Practice: CRC Press, 2019, (paperback), ISBN: 978-1-138-31643-0.

Authors :
Tolosana-Delgado, Raimon
Source :
Mathematical Geosciences; Aug2019, Vol. 51 Issue 6, p837-839, 3p
Publication Year :
2019

Abstract

Highlights from the article: "Compositional data analysis in practice" (121 pages, including indices and appendices) by Michael Greenacre is a slim, colourful book that introduces compositional data analysis from the point of view of a statistician, illustrating concepts and methods mostly with examples from the biosciences. The book introduces the concepts and methods of logratio analysis of compositional data from a similar standpoint as in Aitchison ([1])-that of I vectors of positive components carrying relative information and, often, adding up to a constant i -, but extends this framework towards the field of correspondence analysis, gathering some interesting results that the author has been presenting at CoDaWork meetings before. Another interesting novelty of the book is the connection with Correspondence Analysis, which provides two very interesting effects: a way to measure subcompositional incoherence, and a way to deal with zeros, a method which unfortunately is not compared with other existing proposals.

Details

Language :
English
ISSN :
18748961
Volume :
51
Issue :
6
Database :
Complementary Index
Journal :
Mathematical Geosciences
Publication Type :
Review
Accession number :
137558520
Full Text :
https://doi.org/10.1007/s11004-019-09804-w