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.