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Compositional Data Analysis - CoDaWork, L'Escala, Spain, June 2015 (Hardcover, 1st ed. 2016)
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Compositional Data Analysis - CoDaWork, L'Escala, Spain, June 2015 (Hardcover, 1st ed. 2016)
Series: Springer Proceedings in Mathematics & Statistics, 187
Expected to ship within 12 - 17 working days
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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.
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