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Carte Compositional Data Analysis JO MART N-FERN NDEZ

Compositional Data Analysis

CoDaWork, L'Escala, Spain, June 2015

Autor: JO MART N-FERN NDEZ
Limbă: engleză
Legare: Carte broșată
Editura: Springer International Publishing AG
Disponibilitate: În depozitul extern
Expediem în 5-8 zile
827.88 lei
The authoritative contributions gathered in this volume reflect the state of the art in compositiona...

Informații despre carte

Autor
JO MART N-FERN NDEZ
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2018
Pagini
209
EAN
9783319831411
ISBN
9783319831411
Enbook ID
19784896
Editura
Springer International Publishing AG
Greutate
3401
Dimensiuni
155 x 235 x 235

Descriere completă

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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