Compositional Data Analysis
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Compositional Data Analysis (CoDA) refers to the analysis of all those vectors representing parts of a whole which only carry relative information. This type of data is ubiquitous in most applications, especially in geology, chemistry, genetics, and environmental sciences. The last comprehensive treatment was written by John Aitchison in 1986, and this book represents an update of that classic book.
Compositional Data Analysis (CoDA) refers to the analysis of all those vectors representing parts of a whole which only carry relative information. This type of data is ubiquitous in most applications, but especially in geology, chemistry, genetics and environmental sciences. The last comprehensive treatment was written by John Aitchison in 1986, so this book would represent a sort of updat of that classic book. Key points:
- Comprehensive coverage of compositional data analysis
- Provides sound theory, but does not require high level mathematics
- Motivated well by realistic problems
- Self contained
- Enables analysis of substantive real problems
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