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Título:
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Robust Compositional Data Analysis
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Autor/a:
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Filzmoser, Peter; Hron, Karel; Templ, Matthias
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Otros autores:
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Universitat de Girona. Departament d'Informàtica i Matemàtica Aplicada |
Abstract:
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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 |
Materia(s):
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-Estadística matemàtica -- Congressos -Mathematical statistics -- Congresses -Anàlisi multivariable -- Congressos -Mathematical statistics -- Congresses |
Derechos:
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Tots els drets reservats
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Tipo de documento:
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Objeto de conferencia |
Editor:
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Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada
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