Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/5728

TitleA non parametric robust method for the detection of outliers in linear models
Author(s)Faria, Susana
Melfi, Giuseppe
KeywordsLad regression
Robustness
Outliers
Issue dateJul-2006
CitationINTERNATIONAL CONFERENCE ON ROBUST STATISTICS, Lisboa, 2006 – “ICORS06 - International Conference on Robust Statistics”. ". [S.l. : s.n., 2006].
Abstract(s)The detection of outliers for the standard least squares regression is a problem which has been extensevily studied. Lad Regression diagnostics offers alternative approaches whose main feature is the robustness. In this work, we propose a nonparametric method for detecting outliers in LAD regression models and compare t to other classical methods.
TypeAbstract
URIhttp://hdl.handle.net/1822/5728
Peer-Reviewedyes
AccessOpen access
Appears in Collections:Offmath - Livros de Actas

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