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 Dimensi
Compositional data analysis in the geosciences: from theory to practice
โ Scribed by Vera Pawlowsky-Glahn
- Publisher
- Geological Society
- Year
- 2006
- Tongue
- English
- Leaves
- 214
- Edition
- illustrated edition
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Since Karl Pearson wrote his paper on spurious correlation in 1897, a lot has been said about the statistical analysis of compositional data, mainly by geologists such as Felix Chayes. The solution appeared in the 1980s, when John Aitchison proposed to use logratios. Since then, the approach has seen a great expansion, mainly building on the idea of the 'natural geometry' of the sample space. Statistics is expected to give sense to our perception of the natural scale of the data, and this is made possible for compositional data using logratios. This publication will be a milestone in this process. This book will be of interest to geologists using statistical methods. It includes the intuitive justification of the methodology, convincing through case studies and presenting user-friendly software, which includes a section for those who need to see the proof of the mathematical consistency of the methods used.
โฆ Table of Contents
Cover......Page 1
Front......Page 2
Contents......Page 10
1......Page 12
11......Page 22
25......Page 35
43......Page 52
59......Page 67
67......Page 75
79......Page 86
101......Page 107
119......Page 125
129......Page 134
145......Page 149
161......Page 164
175......Page 178
191......Page 193
203......Page 204
Index......Page 208
Back
......Page 214
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