Description
| Product ID: | 9783319964201 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Series: | Springer Series in Statistics |
| Title: | Applied Compositional Data Analysis |
| Subtitle: | With Worked Examples in R |
| Authors: | Author: Karel Hron, Peter Filzmoser, Matthias Templ |
| Page Count: | 280 |
| Subjects: | Social research and statistics, Social research & statistics, Epidemiology and Medical statistics, Probability and statistics, Geochemistry, Mathematical and statistical software, Epidemiology & medical statistics, Probability & statistics, Geochemistry, Mathematical & statistical software |
| Description: | This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for compositional data analysis, such as supervised and unsupervised methods like PCA, correlation analysis, classification and regression. This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for compositional data analysis, such as supervised and unsupervised methods like PCA, correlation analysis, classification and regression. In addition, it considers special data structures like high-dimensional compositions and compositional tables. The methodology introduced is also frequently compared to methods which ignore the specific nature of compositional data. It focuses on practical aspects of compositional data analysis rather than on detailed theoretical derivations, thus issues like graphical visualization and preprocessing (treatment of missing values, zeros, outliers and similar artifacts) form an important part of the book. Since it is primarily intended for researchers and students from applied fields like geochemistry, chemometrics, biology and natural sciences, economics, and social sciences, all the proposed methods are accompanied by worked-out examples in R using the package robCompositions. |
| Imprint Name: | Springer International Publishing AG |
| Publisher Name: | Springer International Publishing AG |
| Country of Publication: | GB |
| Publishing Date: | 2018-11-13 |
