E-Book, Englisch, 400 Seiten, E-Book
Pawlowsky-Glahn / Buccianti Compositional Data Analysis
1. Auflage 2011
ISBN: 978-1-119-97647-9
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Theory and Applications
E-Book, Englisch, 400 Seiten, E-Book
ISBN: 978-1-119-97647-9
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
It is difficult to imagine that the statistical analysis ofcompositional data has been a major issue of concern for more than100 years. It is even more difficult to realize that so manystatisticians and users of statistics are unaware of the particularproblems affecting compositional data, as well as their solutions.The issue of ``spurious correlation'', as the situation was phrasedby Karl Pearson back in 1897, affects all data that measures partsof some whole, such as percentages, proportions, ppm and ppb. Suchmeasurements are present in all fields of science, ranging fromgeology, biology, environmental sciences, forensic sciences,medicine and hydrology.
This book presents the history and development of compositionaldata analysis along with Aitchison's log-ratio approach.Compositional Data Analysis describes the state of the artboth in theoretical fields as well as applications in the differentfields of science.
Key Features:
* Reflects the state-of-the-art in compositional dataanalysis.
* Gives an overview of the historical development ofcompositional data analysis, as well as basic concepts andprocedures.
* Looks at advances in algebra and calculus on the simplex.
* Presents applications in different fields of science,including, genomics, ecology, biology, geochemistry, planetology,chemistry and economics.
* Explores connections to correspondence analysis and theDirichlet distribution.
* Presents a summary of three available software packages forcompositional data analysis.
* Supported by an accompanying website featuring R code.
Applied scientists working on compositional data analysis in anyfield of science, both in academia and professionals will benefitfrom this book, along with graduate students in any field ofscience working with compositional data.
