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EnglishFor the exploratory analysis of three-way data, the Tucker3 is one of the most applied models to study three-way arrays when the data are approximately trilinear. When the data consist of vectors of positive values summing to a unit, as in the case of compositional data, this model should consider the special problems that compositional data analysis brings. The principal purpose of this paper is to describe how to do a Tucker3 analysis of compositional data, and to show the relationships between the loadings matrices when different preprocessing procedures are used.
http://hdl.handle.net/11574/34916| Titolo: | Tucker3 model for compositional data |
| Autori interni: | GALLO, Michele |
| Data di pubblicazione: | 2015 |
| Rivista: | COMMUNICATIONS IN STATISTICS. THEORY AND METHODS |
| Abstract: | For the exploratory analysis of three-way data, the Tucker3 is one of the most applied models to study three-way arrays when the data are approximately trilinear. When the data consist of vectors of positive values summing to a unit, as in the case of compositional data, this model should consider the special problems that compositional data analysis brings. The principal purpose of this paper is to describe how to do a Tucker3 analysis of compositional data, and to show the relationships between the loadings matrices when different preprocessing procedures are used. |
| Handle: | http://hdl.handle.net/11574/34916 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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