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Titlebook: Analyzing Compositional Data with R; K. Gerald van den Boogaart,Raimon Tolosana-Delgado Book 2013 Springer-Verlag Berlin Heidelberg 2013 C

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發(fā)表于 2025-3-21 20:00:14 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Analyzing Compositional Data with R
影響因子2023K. Gerald van den Boogaart,Raimon Tolosana-Delgado
視頻videohttp://file.papertrans.cn/157/156810/156810.mp4
發(fā)行地址Guides readers from the first steps of a descriptive analysis to the application of multivariate methods.Covers the most commonly used statistical methods in scientific applications.Includes a wealth
學(xué)科分類Use R!
圖書封面Titlebook: Analyzing Compositional Data with R;  K. Gerald van den Boogaart,Raimon Tolosana-Delgado Book 2013 Springer-Verlag Berlin Heidelberg 2013 C
影響因子.This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practical use in descriptive exploratory analysis, robust linear models and advanced multivariate statistical methods, including zeros and missing values, and paying special attention to data visualization and model display issues. Many illustrated examples and code chunks guide the reader into their modeling and interpretation. And, though the book primarily serves as a reference guide for the R package “compositions,” it is also a general introductory text on Compositional Data Analysis. .Awareness of their special characteristics spread in the Geosciences in the early sixties, but a strategy for properly dealing with them was not available until the works of Aitchison in the eighties. Since then, research has expanded our understanding of their theoretical principles and the potentials and limitations of their interpretation. This is the first comprehensive textbook addressing these issues, as well as their practical implications with regard to software..The book is intended for scientist
Pindex Book 2013
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發(fā)表于 2025-3-21 23:10:49 | 只看該作者
Distributions for Random Compositions,ementary probability models, as well as the available functions to work with them. The last section summarizes some properties and relations between the several distributions presented before. Tests for the various distribution models are discussed after presenting each model.
板凳
發(fā)表于 2025-3-22 00:36:53 | 只看該作者
Book 2013overed from its grounding principles to the practical use in descriptive exploratory analysis, robust linear models and advanced multivariate statistical methods, including zeros and missing values, and paying special attention to data visualization and model display issues. Many illustrated example
地板
發(fā)表于 2025-3-22 05:20:39 | 只看該作者
https://doi.org/10.1007/978-3-031-04950-7ementary probability models, as well as the available functions to work with them. The last section summarizes some properties and relations between the several distributions presented before. Tests for the various distribution models are discussed after presenting each model.
5#
發(fā)表于 2025-3-22 08:56:33 | 只看該作者
Varieties or Diversity of Capitalism? compositional data, the Aitchison geometry, is also included. The whole book relies on these basic principles, and the reader should make him or herself familiar with them in Sects. 2.1 – 2.5 before going on.
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發(fā)表于 2025-3-23 00:01:01 | 只看該作者
Fundamental Concepts of Compositional Data Analysis, compositional data, the Aitchison geometry, is also included. The whole book relies on these basic principles, and the reader should make him or herself familiar with them in Sects. 2.1 – 2.5 before going on.
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發(fā)表于 2025-3-23 06:08:01 | 只看該作者
Zeroes, Missings, and Outliers,provides a set of tools limited to detect, represent, and briefly analyze such irregular values, either missing values, zeroes, or outliers. This chapter provides nevertheless additional background material to enable the reader to carefully treat datasets with irregular data.
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