PURO: A Package for Unmasking Regression Outliers

Year 2011, Volume: 24 Issue: 1, 59 - 68, 14.01.2011

Enis Sınıksaran , Enis Sınıksaran , Mehmet Satman

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.

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