Modeling and Analysis of Compositional Data (Statistics in Practice) - Hardcover

Pawlowsky-Glahn, Vera; Egozcue, Juan José; Tolosana-Delgado, Raimon

Hardcover

ISBN 10: 1118443063 ISBN 13: 9781118443064

Publisher: Wiley, 2015

Synopsis

Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method. Based upon short courses delivered by the authors, it provides a complete and current compendium of fundamental to advanced methodologies along with exercises at the end of each chapter to improve understanding, as well as data and a solutions manual which is available on an accompanying website.

Complementing Pawlowsky-Glahn’s earlier collective text that provides an overview of the state-of-the-art in this field, Modeling and Analysis of Compositional Data fills a gap in the literature for a much-needed manual for teaching, self learning or consulting.

About this title

About the Author

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

From the Back Cover

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.

From the Inside Flap

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.

Edition details

• Publisher: Wiley
• Publication date: 2015
• Language: English
• ISBN 10: 1118443063
• ISBN 13: 9781118443064
• Binding: Hardcover
• Edition number: 1
• Number of pages: 272