Title of article
PURO: A Package for Unmasking Regression Outliers
Author/Authors
SINIKSARAN, Enis Istanbul University - Faculty of Political Science, Turkey , SATMAN, Mehmet Hakan Istanbul University - Department of Econometrics, Turkey
From page
59
To page
68
Abstract
Multiple regression outliers should be identified because of their potential effect on parameter estimates and inferences from the regression model. In recent years, researchers have proposed numerous strategies and procedures to identify the outliers. A Mathematica package PURO is introduced which implements seven methods from the latest and most respected outlier detection procedures in the statistics literature.
Keywords
Regression outlier , Mathematica , Detection procedure , Masking , Swamping , Diagnostic plot.
Journal title
Gazi University Journal Of Science
Journal title
Gazi University Journal Of Science
Record number
2600340
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