| Título: | PURO: A Package for Unmasking Regression Outliers |
| Autores: |
Enis Sınıksaran; Istanbul Universitesi, Siyasal Bilgiler Fakültesi, İşletme Bölümü, Sayısal Yöntemler A.B.D Mehmet Hakan Satman; Istanbul Universitesi İktisat Fakültesi, Ekonometri Bölümü, Yöneylem A.B.D |
| Fecha: | 2011-01-14 |
| Publicador: | Gazi University Journal of Science |
| Fuente: |
 |
| Tipo: | Peer-reviewed Article |
| Tema: |
Statistics; Robust Methods; Outlier detection Regression outlier, Mathematica, Detection procedure, Masking, Swamping, Diagnostic plot. |
| Descripción: | 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. |
| Idioma: | Inglés |