Autor(es):
Faria, Susana, 1972- 
; Melfi, Giuseppe
Data: 2006
Identificador Persistente: http://hdl.handle.net/1822/5728
Origem: RepositóriUM - Universidade do Minho
Assunto(s): Lad regression; Robustness; Outliers
Detalhes do Documento
A non parametric robust method for the detection of outliers in linear models
Descrição
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.
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.
Tipo de Documento
Documento de conferência
Idioma Inglês
Idioma Inglês
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