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A three-way analysis for compositional data: insights on Arno river (Tuscany, central Italy) water chemistry

Articolo
Data di Pubblicazione:
2012
Abstract:
Based on the availability of an extensive three-way array regarding a water sampling carried out in the Arno river basin (central-northern Apennines, Italy), we are proposing the Tucker3 model for compositional data in order to study the complex system affected by several physical-chemical processes, either natural or attributable to anthropogenic phenomena. Furthermore, several graphical procedures are given to show
the geochemical results of the Tucker3 model when it is applied to the compositions.
Tipologia CRIS:
1.1 Articolo in rivista
Elenco autori:
Gallo, Michele; Buccianti, A.
Autori di Ateneo:
GALLO Michele
Link alla scheda completa:
https://unora.unior.it/handle/11574/40750
Pubblicato in:
QUADERNI DI STATISTICA
Journal
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URL

http://www.ibs.it/code/9788820758523/quaderni-statistica-2012.html
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