Author(s):
Faria, Susana, 1972- 
; Melfi, Giuseppe
Date: 2006
Persistent ID: http://hdl.handle.net/1822/5728
Origin: RepositóriUM - Universidade do Minho
Subject(s): Lad regression; Robustness; Outliers
Document details
A non parametric robust method for the detection of outliers in linear models
Description
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.
Document Type
Conference Object
Language English
Language English
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