@article{article_96726, title={PURO: A Package for Unmasking Regression Outliers}, journal={Gazi University Journal of Science}, volume={24}, pages={59–68}, year={2011}, author={Sınıksaran, Enis and Sınıksaran, Enis and Satman, Mehmet}, keywords={Regression outlier, Mathematica, Detection procedure, Masking, Swamping, Diagnostic plot.}, abstract={<p class="MsoNormal" style="margin-right:35.45pt;text-align:justify;"> <span style="font-size:10pt;color:#000000;" lang="en-us" xml:lang="en-us">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 <em>Mathematica </em> package PURO is introduced which implements </span> <span style="font-size:10pt;" lang="en-us" xml:lang="en-us">seven methods from the latest and most respected outlier detection procedures in the statistics literature. </span> </p>}, number={1}, publisher={Gazi University}