Units recovery methods in compositional data analysis
dc.contributor.author
dc.date.accessioned
2024-01-30T12:38:01Z
dc.date.available
2024-01-30T12:38:01Z
dc.date.issued
2021
dc.identifier.issn
1520-7439
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dc.description.abstract
Compositional data carry relative information. Hence, their statistical analysis has to be performed on coordinates with respect to a log-ratio basis. Frequently, the modeler is required to back-transform the estimates obtained with the modeling to have them in the original units such as euros, kg or mg/liter. Approaches for recovering original units need to be formally introduced and its properties explored. Here, we formulate and analyze the properties of two procedures: a simple approach consisting of adding a residual part to the composition and an approach based on the use of an auxiliary variable. Both procedures are illustrated using a geochemical data set where the original units are recovered when spatial models are applied
dc.format.extent
14 p.
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application/pdf
dc.language.iso
eng
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Versió postprint del document publicat a: https://doi.org/10.1007/s11053-020-09659-7
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© Natural Resources Research, 2021, vol. 30, núm. 4, p. 3045-3058
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Articles publicats (D-IMAE)
dc.rights
Tots els drets reservats
dc.source
Martín Fernández, Josep Antoni. Egozcue, Juan José Olea, Ricardo A. Pawlowsky-Glahn, Vera 2021 Units recovery methods in compositional data analysis Natural Resources Research 30 4 3045 3058
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dc.title
Units recovery methods in compositional data analysis
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.type.version
info:eu-repo/semantics/acceptedVersion
dc.identifier.doi
dc.identifier.idgrec
032499
dc.type.peerreviewed
peer-reviewed
dc.identifier.eissn
1573-8981