Modeling and Analysis of Compositional Data

Vera Pawlowsky-Glahn, Juan José Egozcue, Raimon Tolosana-Delgado

• Publisher: Wiley
• Year: 2015
• Print ISBN: 9781118443064
• eBook ISBN: 9781119003137
• Edition: 1
• Topic: Mathematics
• Subtopic: Probability & Statistics
• Index: Mathematics

Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method. Based upon short courses delivered by the authors, it provides a complete and current compendium of fundamental to advanced methodologies along with exercises at the end of each chapter to improve understanding, as well as data and a solutions manual which is available on an accompanying website.

Complementing Pawlowsky-Glahn's earlier collective text that provides an overview of the state-of-the-art in this field, Modeling and Analysis of Compositional Data fills a gap in the literature for a much-needed manual for teaching, self learning or consulting.

Table of contents

• Cover
• Title Page
• Copyright
• Dedication
• Preface
• About the Authors
• Acknowledgments
• Chapter 1: Introduction
• Chapter 2: Compositional data and their sample space
• Chapter 3: The Aitchison geometry
• Chapter 4: Coordinate representation
• Chapter 5: Exploratory data analysis
• Chapter 6: Random compositions
• Chapter 7: Statistical inference
• Chapter 8: Linear models
• Chapter 9: Compositional processes
• Chapter 10: Epilogue
• References
• Appendix A: Practical recipes
• Appendix B: Random variables
• List of abbreviations and symbols
• Author Index
• General Index
• Statistics in Practice
• End User License Agreement