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.
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.
Sobre o autor
VERA PAWLOWSKY-GLAHN Department of Computer Science, AppliedMathematics, 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
Língua Inglês ● Formato EPUB ● Páginas 272 ● ISBN 9781119003137 ● Tamanho do arquivo 23.6 MB ● Editora John Wiley & Sons ● Publicado 2015 ● Edição 1 ● Carregável 24 meses ● Moeda EUR ● ID 3788865 ● Proteção contra cópia Adobe DRM
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