Compositional data analysis in practice

Description

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 -- 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