Item
Universitat de Girona. Departament d鈥橧nform脿tica i Matem脿tica Aplicada | |
Filzmoser, Peter
Hron, Karel Templ, Matthias |
|
Many practical data sets contain outliers or other forms of data inhomogeneities. Robust statistics offers concepts how to deal with these situations where the data do not follow strict model assumptions. These concepts are designed for the usual Euclidean space, and they can be easily applied to compositional data if they are represented in this space as well. It turns out that 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-transformed space | |
http://hdl.handle.net/2072/299065 | |
eng | |
Universitat de Girona. Departament d鈥橧nform脿tica i Matem脿tica Aplicada | |
Tots els drets reservats | |
Estad铆stica matem脿tica -- Congressos
Mathematical statistics -- Congresses An脿lisi multivariable -- Congressos Mathematical statistics -- Congresses |
|
Robust Compositional Data Analysis | |
info:eu-repo/semantics/conferenceObject | |
Recercat |