Applied Compositional Data Analysis

Discover the intricate world of statistical analysis with Applied Compositional Data Analysis by Peter Filzmoser. Published in 2018 by Springer International Publishing AG, this comprehensive hardback edition spans 280 pages, offering an in-depth exploration of the log-ratio approach in analyzing compositional data.

This essential resource covers a diverse array of classical and robust statistical methods tailored for compositional data analysis. Readers will gain insights into both supervised and unsupervised techniques, including Principal Component Analysis (PCA), correlation analysis, classification, and regression. Whether you are a researcher, statistician, or data analyst, this book equips you with the tools necessary for effective data interpretation.

Enhance your understanding of compositional data with Filzmoser’s expert guidance and elevate your analytical skills to new heights.