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Modeling and Analysis of Compositional Data
ISBN/GTIN

Modeling and Analysis of Compositional Data

eBookEPUBDRM AdobeElectronic Book
Verkaufsrang2746inMathematics (eBook)
CHF70.00

Produktinformationen

Statistical analysis of compositional data has been a topic of research for more than a century; within the last decade, theoretical results have shown that the simplex-the sample space of compositional data-can be structured as a Euclidean space. This allows the representation of compositions in coordinates; in particular, in coordinates with respect to an orthonormal (Cartesian) basis. In turn, it offers a way to apply all known methods in multivariate statistics, which were developed under the assumption that data are realizations of real random variables.

Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction with numerous examples to illustrate both theory and application of each method. The authors provide a complete and current compendium of fundamental to advanced methodologies along with exercises at the end of each chapter to aid the readers´ understanding. Solutions to questions raised throughout the text, along with datasets, are available on the companion website (www.wiley.com/go/glahn/practical).

- Presents a comprehensive and practical introduction to the analysis of compositional data.

- Presents numerous examples of compositional data and exercises from many fields of science.

- Uses a sample space approach to compositional data based on its algebraic/geometric structure.

- Written by leading experts responsible for many advances in the field.

- Accompanied by a website featuring a manual with solutions, instructions to access free software, and datasets.

Statisticians, mathematicians, and researchers in all fields of science that have to deal with compositional data will find this book a useful resource. It can also be used as a textbook for students with basic knowledge of linear algebra, calculus, and statistics.
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Details

Weitere ISBN/GTIN9781119003137
ProduktarteBook
EinbandElectronic Book
FormatEPUB
Format HinweisDRM Adobe
Erscheinungsdatum17.02.2015
Auflage15001 A. 1. Auflage
Reihen-Nr.1
Seiten272 Seiten
SpracheEnglisch
Dateigrösse23192 Kbytes
WarengruppeEnglish
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Kritiken und Kommentare

Über die Autorin/den Autor

VERA PAWLOWSKY-GLAHN Department of Computer Science, Applied Mathematics, and Statistics, University of Girona, Spain

JUAN JOSÉ EGOZCUE Department of Applied Mathematics III, Technical University of Catalonia, Barcelona, Spain

RAIMON TOLOSANA-DELGADO Helmholtz Institute Freiberg for Resource Technology, Germany

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