Compositional data are very common in many disciplines, which consist of vectors of positive values summing to a unit. Several theoretical efforts have been committed to identify outliers in this kind of data. Aim of this work is to propose for compositional data a procedure that is based on median absolute deviation and a correlation median.

Detecting compositional outliers using Comedian Method

DI PALMA, MARIA ANNA;
2013-01-01

Abstract

Compositional data are very common in many disciplines, which consist of vectors of positive values summing to a unit. Several theoretical efforts have been committed to identify outliers in this kind of data. Aim of this work is to propose for compositional data a procedure that is based on median absolute deviation and a correlation median.
2013
Inglese
Brentari E., Carpita M.
Advances in latent variables
contributo
Advances in Latent Variables - Methods, Models and Applications
9788834325568
Vtita e Pensiero
Milano
ITALIA
Nessuno
June 19, 2013 – June 21, 2013
Brescia
3
DI PALMA, MARIA ANNA; M. R., Srinivasan; T. A., Sajesh
info:eu-repo/semantics/conferenceObject
reserved
273
4 Contributo in Atti di Convegno (Proceeding)::4.2 Abstract in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11574/136247
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