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Comas Cufí, Marc
Martín Fernández, Josep Antoni Mateu i Figueras, Glòria |
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2016 | |
When traditional methods are applied to compositional data misleading and incoherent results could be obtained. Finite mixtures of multivariate distributions are becoming increasingly important nowadays. In this paper, traditional strategies to fit a mixture model into compositional data sets are revisited and the major difficulties are detailed. A new proposal using a mixture of distributions defined on orthonormal log-ratio coordinates is introduced. A real data set analysis is presented to illustrate and compare the different methodologies This research was supported by the Ministerio de Economía y Competividad through the projects “METRICS” and “CoDa-RETOS” (MTM2012-33236; MTM2015-65016- C2-1-R: MINECO/FEDER,UE) and the Agència de Gestió d’Ajuts Universitaris i de Recerca (AGAUR: 2014SGR551) |
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application/pdf | |
1696-2281 (versió paper) 2013-8830 (versió electrònica) |
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http://hdl.handle.net/10256/13747 | |
eng | |
Institut d’Estadística de Catalunya (Idescat) | |
MICINN/PN 2013-2015/MTM2012-33236 MINECO/PE 2016-2018/MTM2015-65016-C2-1-R Reproducció digital del document publicat a: http://www.raco.cat/index.php/SORT/article/view/316149/406263 Articles publicats (D-IMA) |
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SORT : statistics and operations research transactions, 2016, vol. 40. núm 2, 349-374 | |
Attribution-NonCommercial-NoDerivs 3.0 Spain | |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | |
Anàlisi multivariable
Multivariate analysis |
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Log-ratio methods in mixture models for compositional data sets | |
info:eu-repo/semantics/article | |
DUGiDocs |