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Michael Greenacre: Compositional Data Analysis in Practice: CRC Press, 2019, (paperback), ISBN: 978-1-138-31643-0.
- 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.
- Subjects :
- ANALYTIC spaces
DATA analysis
PAPERBACKS
PRINCIPAL components analysis
Subjects
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