Compositional Data Analysis in the Geosciences: From Theory to Practice [Geological Society Special Publication, 264]

A. Buccianti; G. Mateu-Figueras; V. Pawlowsky-Glahn; Editors

ISBN 10: 1862392056 / ISBN 13: 9781862392052

Published by Geological Society of London, 2006

About this Item

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.

Seller Inventory # PGGEOXX68

Bibliographic Details

• Title: Compositional Data Analysis in the Geosciences: From Theory to Practice [Geological Society Special Publication, 264]
• Publisher: Geological Society of London
• Publication Date: 2006
• Language: English
• ISBN 10: 1862392056
• ISBN 13: 9781862392052
• Binding: Hardcover
• Condition: New
• Dimensions: 1.27W x 17.15H x 24.13D centimeters 1.27 centimeters width by 17.15 centimeters height by 24.13 centimeters depth
• Weight: 726 grams

About this title

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.