Item
Universitat de Girona. Departament d’Informà tica i Matemà tica Aplicada | |
Filzmoser, Peter
Hron, Karel Templ, Matthias |
|
Many practical data sets contain outliers or other forms of data inhomogeneities. Robuststatistics offers concepts how to deal with these situations where the data do not follow strictmodel assumptions. These concepts are designed for the usual Euclidean space, and they can beeasily applied to compositional data if they are represented in this space as well. It turns outthat the isometric logratio (ilr) transformation is best suitable in the context of robust estimation.Depending on the method applied, an interpretation of result is usually done in a back-transformedspace | |
http://hdl.handle.net/2072/273633 | |
eng | |
Universitat de Girona. Departament d’Informà tica i Matemà tica Aplicada | |
Tots els drets reservats | |
EstadÃstica matemà tica -- Congressos
Mathematical statistics -- Congresses Anà lisi multivariable -- Congressos Mathematical statistics -- Congresses |
|
Robust Compositional Data Analysis | |
info:eu-repo/semantics/conferenceObject | |
Recercat |