Description
This comprehensive work delves into the realm of compositional data analysis, focusing on the unique challenges posed by data represented as proportions or percentages. The authors provide a thorough exploration of the theoretical underpinnings of this specialized field, ensuring that readers grasp the nuances of working with such data. By blending rigorous statistical methodology with practical application, they create a rich resource for both students and professionals eager to deepen their understanding of compositional data.
The inclusion of numerous worked examples in R facilitates a hands-on approach, allowing readers to engage directly with the concepts discussed. This practical aspect makes the content accessible, catering to individuals with varying levels of statistical background. As researchers increasingly encounter compositional data in diverse fields, this book serves as an essential guide for proper analysis, interpretation, and communication of results, enriching the reader's toolkit for tackling real-world data challenges.
The inclusion of numerous worked examples in R facilitates a hands-on approach, allowing readers to engage directly with the concepts discussed. This practical aspect makes the content accessible, catering to individuals with varying levels of statistical background. As researchers increasingly encounter compositional data in diverse fields, this book serves as an essential guide for proper analysis, interpretation, and communication of results, enriching the reader's toolkit for tackling real-world data challenges.
Détails du livre
Format
Relié
Pages
297 pages
Langue
Anglais
Publié
Nov 13, 2018
Éditeur
Springer
Édition
1st ed. 2018
Éditions
3 éditions
ISBN-10
3319964208
ISBN-13
9783319964201