Since Karl Pearson wrote his paper on spurious correlation in 1897, a lot has been said about the statistical analysis of compositional data, mainly by geologists such as Felix Chayes. The solution appeared in the 1980s, when John Aitchison proposed to use logratios. Since then, the approach has see
Compositional data analysis in practice
โ Scribed by Greenacre, Michael J
- Publisher
- Chapman and Hall/CRC, an imprint of Taylor and Francis
- Year
- 2018
- Tongue
- English
- Leaves
- 136
- Edition
- First edition
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Chapter 1 What are compositional data, and why are they special? -- chapter 2 Geometry and visualization of compositional data -- chapter 3 Logratio transformations -- chapter 4 Properties and distributions of logratios -- chapter 5 Regression models involving compositional data -- chapter 6 Dimension reduction using logratio analysis -- chapter 7 Clustering of compositional data -- chapter 8 Problem of zeros, with ย Read more...
Abstract: Chapter 1 What are compositional data, and why are they special? -- chapter 2 Geometry and visualization of compositional data -- chapter 3 Logratio transformations -- chapter 4 Properties and distributions of logratios -- chapter 5 Regression models involving compositional data -- chapter 6 Dimension reduction using logratio analysis -- chapter 7 Clustering of compositional data -- chapter 8 Problem of zeros, with some solutions -- chapter 9 Simplifying the task: variable selection -- chapter 10 Case study: Fatty acids of marine amphipods -- chapter A Appendix: Theory of compositional data analysis -- chapter B Appendix: Bibliography of compositional data analysis -- chapter C C Appendix: Computation of compositional data analysis -- chapter D Appendix: Glossary of terms -- chapter E Appendix: Epilogue
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