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Index
Cover Frontmatter 1. Introduction 2. Fundamental Concepts of Compositional Data Analysis 3. Distributions for Random Compositions 4. Descriptive Analysis of Compositional Data 5. Linear Models for Compositions 6. Multivariate Statistics 7. Zeroes, Missings, and Outliers Backmatter
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