Compositional Data Analysis in Practice

Compositional Data Analysis in Practice

Science & Math / Business & Money
ISBN: 1138316431 Format: PDF Edition: 1 edition Date: August 3, 2018 Pages: 136 pages Language: English

Download Compositional Data Analysis in Practice


Download .PDF eBook

Book Description

Compositional Data Analysis in Practice is a user-oriented practical guide to the analysis of data with the property of a constant sum, for example percentages adding up to 100%. Compositional data can give misleading results if regular statistical methods are applied, and are best analysed by first transforming them to logarithms of ratios. This book explains how this transformation affects the analysis, results and interpretation of this very special type of data. All aspects of compositional data analysis are considered: visualization, modelling, dimension-reduction, clustering and variable selection, with many examples in the fields of food science, archaeology, sociology and biochemistry, and a final chapter containing a complete case study using fatty acid compositions in ecology. The applicability of these methods extends to other fields such as linguistics, geochemistry, marketing, economics and finance.

Content

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

Book cover


Compositional Data Analysis in Practice
В закладки

Dear users and students. The Book Compositional Data Analysis in Practice on our website it is presented for demonstration only. We do not store the files, If you like the book, please remove it and to buy a printed version of the book.

If You feel that this book is belong to you and you want to unpublish it, Please Contact us.

This site comply with DMCA digital copyright. We do not store files not owned by us, or without the permission of the owner. We also do not have links that lead to sites DMCA copyright infringement.



Comments (0)
ADD COMMENTS
Прокомментировать
reload, if the code cannot be seen
Data Analysis with Python: A Modern Approach
Applied Unsupervised Learning with R
Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data
Comparative Approaches to Using R and Python for Statistical Data Analysis
Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering
Analysis of Questionnaire Data with R
Data Analysis with R
Data Analysis Using SQL and Excel