Irregular Compositional Data
Zeros, Nondetects, Missings and Outliers
Productivity Press
1st Edition
Published on 26. September 2018
Book
Hardback
200 pages
978-1-4987-3477-6 (ISBN)
Description
Compositional Data Analysis (CoDa) refers to concentration-type multivariate data, typically measured in percentages. The importance of a consistent statistical analysis of CoDa cannot be underestimated. Some application fields where relevant contributions have already been made include geology, economy, medicine, food industry and genetics. Real-world CoDa sets are commonly plagued with irregular observations that hamper or even prevent any subsequent data analysis. serve as reference on these topics by gathering. This book will provide an integrated approach to the latest advances (theoretical, practical and software) for exploring and handling irregular data in CoDa.
More details
Language
English
Place of publication
Portland
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Illustrations
64 s/w Abbildungen
64 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-4987-3477-6 (9781498734776)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
Editor
Biomathematics & Statistics Scotland, Edinburgh, United Kingdom
Content
introduction to CoDa analysis. Basic theory. Introduction to types of irregular data in CoDa and their effects in different applied fields of knowledge. Rounded zeros and censoring. Essential zeros. Missing data. Outliers.