Compositional data analysis in practice
Greenacre, Michael J
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.
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
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
श्रेणियाँ:
साल:
2018
संस्करण:
First edition
प्रकाशन:
Chapman and Hall/CRC, an imprint of Taylor and Francis
भाषा:
english
पृष्ठ:
120
ISBN 10:
0429849028
ISBN 13:
9780429849022
फ़ाइल:
PDF, 26.69 MB
IPFS:
,
english, 2018