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 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
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