Penalized Trimmed Squares and a Modification of Support Vectors for Unmasking Outliers in Linear Regress

We consider the problem of identifying multiple outliers in linear regression models. We propose a penalized trimmed squares (PTS) estimator, where penalty costs for discarding outliers are inserted into the loss function. We propose suitable penalties for unmasking the multiple high-leverage outli...

Full description

Bibliographic Details
Main Authors: G. Zioutas, A. Avramidis, L. Pitsoulis
Format: Article
Language:English
Published: Instituto Nacional de Estatística | Statistics Portugal 2007-03-01
Series:Revstat Statistical Journal
Subjects:
Online Access:https://revstat.ine.pt/index.php/REVSTAT/article/view/45