Analyzing compositional data with R (Record no. 5737)
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000 -LEADER | |
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fixed length control field | 02158nam a22001937a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240207115136.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240207b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9783642368080 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 519.535 |
Item number | BOO |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Boogaart, K. Gerald van den |
245 ## - TITLE STATEMENT | |
Title | Analyzing compositional data with R |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc. | Springer |
Place of publication, distribution, etc. | Switzerland |
Date of publication, distribution, etc. | 2013 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 258 p. |
365 ## - TRADE PRICE | |
Price type code | EURO |
Price amount | 52.99 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | 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.<br/><br/>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.<br/><br/>The book is intended for scientists interested in statistically analyzing their compositional data. The subject enjoys relatively broad awareness in the geosciences and environmental sciences, but the spectrum of recent applications also covers areas like medicine, official statistics, and economics.<br/><br/>Readers should be familiar with basic univariate and multivariate statistics. Knowledge of R is recommended but not required, as the book is self-contained. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Compositional Data |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Tolosana-Delgado, Raimon |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Book |
Source of classification or shelving scheme | Dewey Decimal Classification |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
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Dewey Decimal Classification | IT & Decisions Sciences | 2023-24/1525 | 26-12-2023 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 02/07/2024 | Indica Publishers & Distributors Pvt. Ltd. | 3241.13 | 519.535 BOO | 005568 | 02/07/2024 | 1 | 4986.36 | 02/07/2024 | Book |