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EnglishBased 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.
http://hdl.handle.net/11574/40750| Titolo: | A three-way analysis for compositional data: insights on Arno river (Tuscany, central Italy) water chemistry |
| Autori interni: | GALLO, Michele |
| Data di pubblicazione: | 2012 |
| Rivista: | QUADERNI DI STATISTICA |
| 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. |
| Handle: | http://hdl.handle.net/11574/40750 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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