Compositional Data Analysis - CoDaWork, L'Escala, Spain, June 2015 (Hardcover, 1st ed. 2016)

The authoritative contributions gathered in this volume reflect the state of the art in compositional data analysis (CoDa). The respective chapters cover all aspects of CoDa, ranging from mathematical theory, statistical methods and techniques to its broad range of applications in geochemistry, the life sciences and other disciplines. The selected and peer-reviewed papers were originally presented at the 6th International Workshop on Compositional Data Analysis, CoDaWork 2015, held in L'Escala (Girona), Spain. Compositional data is defined as vectors of positive components and constant sum, and, more generally, all those vectors representing parts of a whole which only carry relative information. Examples of compositional data can be found in many different fields such as geology, chemistry, economics, medicine, ecology and sociology. As most of the classical statistical techniques are incoherent on compositions, in the 1980s John Aitchison proposed the log-ratio approach to CoDa. This became the foundation of modern CoDa, which is now based on a specific geometric structure for the simplex, an appropriate representation of the sample space of compositional data. The International Workshops on Compositional Data Analysis offer a vital discussion forum for researchers and practitioners concerned with the statistical treatment and modelling of compositional data or other constrained data sets and the interpretation of models and their applications. The goal of the workshops is to summarize and share recent developments, and to identify important lines of future research.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Proceedings in Mathematics & Statistics, 187
Release date:	November 2016
First published:	2016
Editors:	Josep Antoni Martin-Fernandez • Santiago Thio-Henestrosa
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Hardcover
Pages:	209
Edition:	1st ed. 2016
ISBN-13:	978-3-319-44810-7
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Earth & environment > Earth sciences > Geology & the lithosphere > Geochemistry
LSN:	3-319-44810-2
Barcode:	9783319448107

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