Measuring Subcompositional Incoherence

Bibliographic Details
Title: Measuring Subcompositional Incoherence
Authors: Michael Greenacre
Contributors: Universitat de Girona. Departament d'Informàtica i Matemàtica Aplicada, Universitat Pompeu Fabra. Departament d'Economia i Empresa
Source: CoDaWork 2011. The 4th International Workshop on Compositional Data Analysis
DUGiDocs – Universitat de Girona
instname
Recercat. Dipósit de la Recerca de Catalunya
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Repositorio Digital de la UPF
Universitat Pompeu Fabra
Publication Status: Preprint
Publisher Information: Springer Science and Business Media LLC, 2008.
Publication Year: 2008
Subject Terms: log-ratio distance, multidimensional scaling, correspondence analysis, compositional data, chi-square distance, log-ratio distance, multidimensional scaling, stress, subcompositional coherence, Estadística matemàtica -- Congressos, subcompositional coherence, jel:C88, 01 natural sciences, compositional data, Multivariate analysis -- Congresses, correspondence analysis, Quantitative research, stress, jel:C19, Statistics, Econometrics and Quantitative Methods, Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica, Investigació quantitativa, Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC], Data analytics, chi-square distance, Anàlisi multivariable -- Congressos, 0101 mathematics, Mathematical statistics -- Congresses
Description: Subcompositional coherence is a fundamental property of Aitchison’s approach to compositional data analysis, and is the principal justification for using ratios of components. For dimension reduction of a matrix of compositional data, either an unweighted (Aitchison & Greenacre 2002) or weighted (Greenacre & Lewi 2009; Greenacre 2010a: chapter 7) form of log-ratio analysis can be used, and these are both subcompositionally coherent. Many alternative methods that might be applied to compositional data are subcompositionally incoherent, but some can be judged to be less incoherent than others. In other words, either for a particular data set, or in general, a method might actually be quite subcompositionally “robust” in that its results for a subcomposition are quite close to its results for the same components as part of a full composition. So we propose that lack of subcompositional coherence, that is subcompositional incoherence, can be measured in an attempt to evaluate whether any given technique is close enough, for all practical purposes, to being subcompositionally coherent. This opens up the field to alternative methods, which might be better suited to cope with problems such as data zeros and outliers, while being only slightly incoherent
Document Type: Article
Conference object
Research
Other literature type
File Description: application/pdf
Language: English
ISSN: 1874-8953
1874-8961
DOI: 10.1007/s11004-011-9338-5
DOI: 10.2139/ssrn.1285466
Access URL: http://repositori.upf.edu/bitstream/10230/1180/1/1106.pdf
http://hdl.handle.net/10256/13643
http://hdl.handle.net/2117/366734
http://hdl.handle.net/10230/1180
https://hdl.handle.net/2117/366734
https://econ-papers.upf.edu/ca/paper.php?id=1106
http://hdl.handle.net/10230/1180
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1285466
https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID1285466_code386779.pdf?abstractid=1285466&mirid=4
https://repositori.upf.edu/bitstream/handle/10230/1180/1106.pdf?sequence=1
https://dialnet.unirioja.es/servlet/articulo?codigo=2876316
https://repositori.upf.edu/handle/10230/1180
https://repositori.upf.edu/bitstream/10230/1180/1/1106.pdf
https://link.springer.com/article/10.1007%2Fs11004-011-9338-5
http://www.econ.upf.edu/docs/papers/downloads/1106.pdf
https://hdl.handle.net/2072/319421
https://econ-papers.upf.edu/papers/1106.pdf
Rights: Springer TDM
CC BY NC ND
Accession Number: edsair.doi.dedup.....ad9042a4b1e7105b6ea30abec3714dde
Database: OpenAIRE
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