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.
Citation Information
Publication Year | 2021 |
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Title | Units recovery methods in compositional data analysis |
DOI | 10.1007/s11053-020-09659-7 |
Authors | J. A Martin-Fernandez, Juan Jose Egozcue, Ricardo Olea, Vera Pawlowsky-Glahn |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Natural Resources Research |
Index ID | 70224613 |
Record Source | USGS Publications Warehouse |
USGS Organization | Eastern Energy Resources Science Center |