Advances In Compositional Data Analysis

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Advances in Compositional Data Analysis

Peter Filzmoser,Karel Hron,Josep Antoni Martín-Fernández,Javier Palarea-Albaladejo
Advances in Compositional Data Analysis Book PDF

Author : Peter Filzmoser,Karel Hron,Josep Antoni Martín-Fernández,Javier Palarea-Albaladejo
Publisher : Springer Nature
Page : 404 pages
File Size : 45,6 Mb
Release : 2021-06-01
Category : Mathematics
ISBN : 9783030711757

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Advances in Compositional Data Analysis by Peter Filzmoser,Karel Hron,Josep Antoni Martín-Fernández,Javier Palarea-Albaladejo Pdf

This book presents modern methods and real-world applications of compositional data analysis. It covers a wide variety of topics, ranging from an updated presentation of basic concepts and ideas in compositional data analysis to recent advances in the context of complex data structures. Further, it illustrates real-world applications in numerous scientific disciplines and includes references to the latest software solutions available for compositional data analysis, thus providing a valuable and up-to-date guide for researchers and practitioners working with compositional data. Featuring selected contributions by leading experts in the field, the book is dedicated to Vera Pawlowsky-Glahn on the occasion of her 70th birthday.

Compositional Data Analysis

Vera Pawlowsky-Glahn,Antonella Buccianti
Compositional Data Analysis Book PDF

Author : Vera Pawlowsky-Glahn,Antonella Buccianti
Publisher : John Wiley & Sons
Page : 401 pages
File Size : 50,7 Mb
Release : 2011-09-19
Category : Mathematics
ISBN : 9780470711354

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Compositional Data Analysis by Vera Pawlowsky-Glahn,Antonella Buccianti Pdf

It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even more difficult to realize that so many statisticians and users of statistics are unaware of the particular problems affecting compositional data, as well as their solutions. The issue of ``spurious correlation'', as the situation was phrased by Karl Pearson back in 1897, affects all data that measures parts of some whole, such as percentages, proportions, ppm and ppb. Such measurements are present in all fields of science, ranging from geology, biology, environmental sciences, forensic sciences, medicine and hydrology. This book presents the history and development of compositional data analysis along with Aitchison's log-ratio approach. Compositional Data Analysis describes the state of the art both in theoretical fields as well as applications in the different fields of science. Key Features: Reflects the state-of-the-art in compositional data analysis. Gives an overview of the historical development of compositional data analysis, as well as basic concepts and procedures. Looks at advances in algebra and calculus on the simplex. Presents applications in different fields of science, including, genomics, ecology, biology, geochemistry, planetology, chemistry and economics. Explores connections to correspondence analysis and the Dirichlet distribution. Presents a summary of three available software packages for compositional data analysis. Supported by an accompanying website featuring R code. Applied scientists working on compositional data analysis in any field of science, both in academia and professionals will benefit from this book, along with graduate students in any field of science working with compositional data.

Modeling and Analysis of Compositional Data

Vera Pawlowsky-Glahn,Juan José Egozcue,Raimon Tolosana-Delgado
Modeling and Analysis of Compositional Data Book PDF

Author : Vera Pawlowsky-Glahn,Juan José Egozcue,Raimon Tolosana-Delgado
Publisher : John Wiley & Sons
Page : 272 pages
File Size : 51,6 Mb
Release : 2015-02-17
Category : Mathematics
ISBN : 9781119003137

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Modeling and Analysis of Compositional Data by Vera Pawlowsky-Glahn,Juan José Egozcue,Raimon Tolosana-Delgado Pdf

Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method. Based upon short courses delivered by the authors, it provides a complete and current compendium of fundamental to advanced methodologies along with exercises at the end of each chapter to improve understanding, as well as data and a solutions manual which is available on an accompanying website. Complementing Pawlowsky-Glahn’s earlier collective text that provides an overview of the state-of-the-art in this field, Modeling and Analysis of Compositional Data fills a gap in the literature for a much-needed manual for teaching, self learning or consulting.

Analyzing Compositional Data with R

K. Gerald van den Boogaart,Raimon Tolosana-Delgado
Analyzing Compositional Data with R Book PDF

Author : K. Gerald van den Boogaart,Raimon Tolosana-Delgado
Publisher : Springer Science & Business Media
Page : 269 pages
File Size : 49,8 Mb
Release : 2013-06-29
Category : Mathematics
ISBN : 9783642368097

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Analyzing Compositional Data with R by K. Gerald van den Boogaart,Raimon Tolosana-Delgado Pdf

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 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. Readers should be familiar with basic univariate and multivariate statistics. Knowledge of R is recommended but not required, as the book is self-contained.

Modeling and Analysis of Compositional Data

Vera Pawlowsky-Glahn,Juan José Egozcue,Raimon Tolosana-Delgado
Modeling and Analysis of Compositional Data Book PDF

Author : Vera Pawlowsky-Glahn,Juan José Egozcue,Raimon Tolosana-Delgado
Publisher : John Wiley & Sons
Page : 273 pages
File Size : 50,7 Mb
Release : 2015-03-30
Category : Mathematics
ISBN : 9781118443064

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Modeling and Analysis of Compositional Data by Vera Pawlowsky-Glahn,Juan José Egozcue,Raimon Tolosana-Delgado Pdf

Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method. Based upon short courses delivered by the authors, it provides a complete and current compendium of fundamental to advanced methodologies along with exercises at the end of each chapter to improve understanding, as well as data and a solutions manual which is available on an accompanying website. Complementing Pawlowsky-Glahn’s earlier collective text that provides an overview of the state-of-the-art in this field, Modeling and Analysis of Compositional Data fills a gap in the literature for a much-needed manual for teaching, self learning or consulting.

Applied Compositional Data Analysis

Peter Filzmoser,Karel Hron,Matthias Templ
Applied Compositional Data Analysis Book PDF

Author : Peter Filzmoser,Karel Hron,Matthias Templ
Publisher : Springer
Page : 280 pages
File Size : 51,9 Mb
Release : 2018-11-03
Category : Mathematics
ISBN : 9783319964225

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Applied Compositional Data Analysis by Peter Filzmoser,Karel Hron,Matthias Templ Pdf

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.

Compositional Data Analysis in Practice

Michael Greenacre
Compositional Data Analysis in Practice Book PDF

Author : Michael Greenacre
Publisher : CRC Press
Page : 120 pages
File Size : 50,6 Mb
Release : 2018-07-17
Category : Business & Economics
ISBN : 9780429849015

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Compositional Data Analysis in Practice by Michael Greenacre Pdf

Compositional Data Analysis in Practice is a user-oriented practical guide to the analysis of data with the property of a constant sum, for example percentages adding up to 100%. Compositional data can give misleading results if regular statistical methods are applied, and are best analysed by first transforming them to logarithms of ratios. This book explains how this transformation affects the analysis, results and interpretation of this very special type of data. All aspects of compositional data analysis are considered: visualization, modelling, dimension-reduction, clustering and variable selection, with many examples in the fields of food science, archaeology, sociology and biochemistry, and a final chapter containing a complete case study using fatty acid compositions in ecology. The applicability of these methods extends to other fields such as linguistics, geochemistry, marketing, economics and finance. R Software The R package easyCODA, which accompanies this book, can be downloaded from R-Forge as follows: install.packages("easyCODA", repos="") and will be available on CRAN soon. Notice that the R packages ca and vegan also have to be installed (from CRAN in the usual way).

The Statistical Analysis of Compositional Data

J. Aitchison
The Statistical Analysis of Compositional Data Book PDF

Author : J. Aitchison
Publisher : Springer
Page : 440 pages
File Size : 45,8 Mb
Release : 1986-08-21
Category : Science
ISBN : UCAL:B4407249

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The Statistical Analysis of Compositional Data by J. Aitchison Pdf

As long ago as 1897 Karl Pearson, in a now classic paper on spurious correlation, first pointed out dangers that may befall the analyst who attempts to interpret correlations between ratios whose numerators and denominators contain common parts. He thus implied that the analysis of compositional data, with its concentration on relation ships between proportions of some whole, is likely to be fraught with difficulty. History has proved him correct: over the succeeding years and indeed right up to the present day, there has been no other form of data analysis where more confusion has reigned and where more improper and inadequate statistical methods have been applied. The special and intrinsic feature of compositional data is that the proportions of a composition are naturally subject to a unit-sum constraint. For other forms of constrained data, in particular for directional data where there is a unit-length constraint on each direction vector, scientist and statistician alike have readily appre ciated that new statistical methods, appropriate to the special nature of the data, are required; and there now exists an extensive literature on the successful statistical analysis of directional data. It is paradox ical that for compositional data, subject to an apparently simpler constraint, such an appreciation and development have been slower to emerge. In applications the unit-sum constraint has been widely ignored or wished away and inappropriate 'standard' statistical methods, devised for and successfully applied to unconstrained data, have been used with disastrous consequences.

Compositional Data Analysis in Practice

Michael Greenacre
Compositional Data Analysis in Practice Book PDF

Author : Michael Greenacre
Publisher : CRC Press
Page : 120 pages
File Size : 43,5 Mb
Release : 2018-07-17
Category : Business & Economics
ISBN : 9780429849022

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Compositional Data Analysis in Practice by Michael Greenacre Pdf

Compositional Data Analysis in Practice is a user-oriented practical guide to the analysis of data with the property of a constant sum, for example percentages adding up to 100%. Compositional data can give misleading results if regular statistical methods are applied, and are best analysed by first transforming them to logarithms of ratios. This book explains how this transformation affects the analysis, results and interpretation of this very special type of data. All aspects of compositional data analysis are considered: visualization, modelling, dimension-reduction, clustering and variable selection, with many examples in the fields of food science, archaeology, sociology and biochemistry, and a final chapter containing a complete case study using fatty acid compositions in ecology. The applicability of these methods extends to other fields such as linguistics, geochemistry, marketing, economics and finance. R Software The following repository contains data files and R scripts from the book https://github.com/michaelgreenacre/CODAinPractice. The R package easyCODA, which accompanies this book, is available on CRAN -- note that you should have version 0.25 or higher. The latest version of the package will always be available on R-Forge and can be installed from R with this instruction: install.packages("easyCODA", repos="http://R-Forge.R-project.org").

Advances in Contemporary Statistics and Econometrics

Abdelaati Daouia,Anne Ruiz-Gazen
Advances in Contemporary Statistics and Econometrics Book PDF

Author : Abdelaati Daouia,Anne Ruiz-Gazen
Publisher : Springer Nature
Page : 713 pages
File Size : 54,6 Mb
Release : 2021-06-14
Category : Mathematics
ISBN : 9783030732493

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Advances in Contemporary Statistics and Econometrics by Abdelaati Daouia,Anne Ruiz-Gazen Pdf

This book presents a unique collection of contributions on modern topics in statistics and econometrics, written by leading experts in the respective disciplines and their intersections. It addresses nonparametric statistics and econometrics, quantiles and expectiles, and advanced methods for complex data, including spatial and compositional data, as well as tools for empirical studies in economics and the social sciences. The book was written in honor of Christine Thomas-Agnan on the occasion of her 65th birthday. Given its scope, it will appeal to researchers and PhD students in statistics and econometrics alike who are interested in the latest developments in their field.

Remote Compositional Analysis

Janice L. Bishop,James F. Bell III,Jim Bell,Jeffrey E. Moersch
Remote Compositional Analysis Book PDF

Author : Janice L. Bishop,James F. Bell III,Jim Bell,Jeffrey E. Moersch
Publisher : Cambridge University Press
Page : 655 pages
File Size : 41,5 Mb
Release : 2019-11-28
Category : Language Arts & Disciplines
ISBN : 9781107186200

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Remote Compositional Analysis by Janice L. Bishop,James F. Bell III,Jim Bell,Jeffrey E. Moersch Pdf

Comprehensive overview of the spectroscopic, mineralogical, and geochemical techniques used in planetary remote sensing.

Advances in Data Science and Classification

Alfredo Rizzi,Maurizio Vichi,Hans-Hermann Bock
Advances in Data Science and Classification Book PDF

Author : Alfredo Rizzi,Maurizio Vichi,Hans-Hermann Bock
Publisher : Springer Science & Business Media
Page : 678 pages
File Size : 45,7 Mb
Release : 2013-03-08
Category : Mathematics
ISBN : 9783642722530

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Advances in Data Science and Classification by Alfredo Rizzi,Maurizio Vichi,Hans-Hermann Bock Pdf

International Federation of Classification Societies The International Federation of Classification Societies (lFCS) is an agency for the dissemination of technical and scientific information concerning classification and multivariate data analysis in the broad sense and in as wide a range of applications as possible; founded in 1985 in Cambridge (UK) by the following Scientific Societies and Groups: - British Classification Society - BCS - Classification Society of North America - CSNA - Gesellschaft fUr Klassification - GfKI - Japanese Classification Society - JCS - Classification Group ofItalian Statistical Society - CGSIS - Societe Francophone de Classification - SFC Now the IFCS includes also the following Societies: - Dutch-Belgian Classification Society - VOC - Polish Classification Section - SKAD - Portuguese Classification Association - CLAD - Group at Large - Korean Classification Society - KCS IFCS-98, the Sixth Conference of the International Federation of Classification Societies, was held in Rome, from July 21 to 24, 1998. Five preceding conferences were held in Aachen (Germany), Charlottesville (USA), Edinburgh (UK), Paris (France), Kobe (Japan).

Robust and Multivariate Statistical Methods

Mengxi Yi,Klaus Nordhausen
Robust and Multivariate Statistical Methods Book PDF

Author : Mengxi Yi,Klaus Nordhausen
Publisher : Springer Nature
Page : 500 pages
File Size : 53,9 Mb
Release : 2023-04-19
Category : Mathematics
ISBN : 9783031226878

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Robust and Multivariate Statistical Methods by Mengxi Yi,Klaus Nordhausen Pdf

This book presents recent developments in multivariate and robust statistical methods. Featuring contributions by leading experts in the field it covers various topics, including multivariate and high-dimensional methods, time series, graphical models, robust estimation, supervised learning and normal extremes. It will appeal to statistics and data science researchers, PhD students and practitioners who are interested in modern multivariate and robust statistics. The book is dedicated to David E. Tyler on the occasion of his pending retirement and also includes a review contribution on the popular Tyler’s shape matrix.

Compositional Data Analysis

Josep Antoni Martín-Fernández,Santiago Thió-Henestrosa
Compositional Data Analysis Book PDF

Author : Josep Antoni Martín-Fernández,Santiago Thió-Henestrosa
Publisher : Springer
Page : 209 pages
File Size : 50,9 Mb
Release : 2016-11-19
Category : Mathematics
ISBN : 9783319448114

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Compositional Data Analysis by Josep Antoni Martín-Fernández,Santiago Thió-Henestrosa Pdf

The authoritative contributions gathered in this volume reflect the state of the art in compositional data analysis (CoDa). The respective chapters cover all aspects of CoDa, ranging from mathematical theory, statistical methods and techniques to its broad range of applications in geochemistry, the life sciences and other disciplines. The selected and peer-reviewed papers were originally presented at the 6th International Workshop on Compositional Data Analysis, CoDaWork 2015, held in L’Escala (Girona), Spain. Compositional data is defined as vectors of positive components and constant sum, and, more generally, all those vectors representing parts of a whole which only carry relative information. Examples of compositional data can be found in many different fields such as geology, chemistry, economics, medicine, ecology and sociology. As most of the classical statistical techniques are incoherent on compositions, in the 1980s John Aitchison proposed the log-ratio approach to CoDa. This became the foundation of modern CoDa, which is now based on a specific geometric structure for the simplex, an appropriate representation of the sample space of compositional data. The International Workshops on Compositional Data Analysis offer a vital discussion forum for researchers and practitioners concerned with the statistical treatment and modelling of compositional data or other constrained data sets and the interpretation of models and their applications. The goal of the workshops is to summarize and share recent developments, and to identify important lines of future research.

Compositional Data Analysis

John Bacon-Shone
Compositional Data Analysis Book PDF

Author : John Bacon-Shone
Publisher : CRC Press
Page : 304 pages
File Size : 54,8 Mb
Release : 2018-07-30
Category : Electronic
ISBN : 1498729487

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Compositional Data Analysis by John Bacon-Shone Pdf

Compositional Data Analysis (CoDA) refers to the analysis of all those vectors representing parts of a whole which only carry relative information. This type of data is ubiquitous in most applications, especially in geology, chemistry, genetics, and environmental sciences. The last comprehensive treatment was written by John Aitchison in 1986, and this book represents an update of that classic book.