Analyzing compositional data with R (Record no. 5737)

MARC details
000 -LEADER
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
Holdings
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
    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

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