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Compositional Data Analysis in Practice by Greenacre, Michael J is a nonfiction available to read on EtoBox.

What is Compositional Data Analysis in Practice about?

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. 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 -- ch

Who reads Compositional Data Analysis in Practice?

Author

Greenacre, Michael J

Publisher

Chapman and Hall/CRC, an imprint of Taylor and Francis

Published

2018

Language

EN

ISBN

9781138316430

Category

nonfiction

Subjects

Business, Mathematics, Computer Science