Applied Compositional Data Analysis is popular PDF and ePub book, written by Peter Filzmoser in 2018-11-03, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Applied Compositional Data Analysis can be Read Online from any device for your convenience.
Applied Compositional Data Analysis Book PDF Summary
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.
Detail Book of Applied Compositional Data Analysis PDF
- Author : Peter Filzmoser
- Release : 03 November 2018
- Publisher : Springer
- ISBN : 9783319964225
- Genre : Mathematics
- Total Page : 280 pages
- Language : English
- PDF File Size : 18,6 Mb
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