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Three-way Compositional Data Analysis

For the exploratory analysis of three-way data, e.g., measurements of a number of objects, on anumber of variables at different points in time, Tucker analysis is one of the most applied techniqueto study three-way array when the data are approximately trilinear. It can be considered a threeway generalization of PCA (Principal Component Analysis). Like PCA, to interpret the results fromthese methods, it is possible, in addition to inspecting the loadings matrices and core array, inspectvisual representation of the outcome. When the data are particular ratios, as in the case ofcompositional data, these models should consider the special problems that compositional datagives. Aim of this work is describe how an analysis of compositional data by Tucker analysis ispossible and how the results should be interpreted. Moreover, a procedure for displaying the resultsfor objects, variables and occasions will be given

Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada

Altres contribucions: Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada
Autor: Gallo, M.
Resum: For the exploratory analysis of three-way data, e.g., measurements of a number of objects, on anumber of variables at different points in time, Tucker analysis is one of the most applied techniqueto study three-way array when the data are approximately trilinear. It can be considered a threeway generalization of PCA (Principal Component Analysis). Like PCA, to interpret the results fromthese methods, it is possible, in addition to inspecting the loadings matrices and core array, inspectvisual representation of the outcome. When the data are particular ratios, as in the case ofcompositional data, these models should consider the special problems that compositional datagives. Aim of this work is describe how an analysis of compositional data by Tucker analysis ispossible and how the results should be interpreted. Moreover, a procedure for displaying the resultsfor objects, variables and occasions will be given
Accés al document: http://hdl.handle.net/2072/273424
Llenguatge: eng
Editor: Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada
Drets: Tots els drets reservats
Matèria: Anàlisi multivariable -- Congressos
Multivariate analysis -- Congresses
Estadística matemàtica -- Congressos
Mathematical statistics -- Congresses
Títol: Three-way Compositional Data Analysis
Tipus: info:eu-repo/semantics/conferenceObject
Repositori: Recercat

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