Graphical display in outlier diagnostics
Outlier robust diagnostics (graphically) using Robustly Studentized Robust Residuals (RSRR) and Partial Robustly Studentized Robust Residuals (PRSRR) are established. One problem with some robust residual plots is that the residuals retain information from certain predicated values (Velilla, 1998)....
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| Tipo de documento: | artigo |
| Data de publicação: | 2005 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositório: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglês |
| OAI Identifier: | oai:upcommons.upc.edu:2099/3761 |
| Acesso em linha: | https://hdl.handle.net/2099/3761 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Statistics Inference Estadística Inferència Classificació AMS::62 Statistics::62G Nonparametric inference Classificació AMS::62 Statistics::62J Linear inference, regression Classificació AMS::62 Statistics |
| Resumo: | Outlier robust diagnostics (graphically) using Robustly Studentized Robust Residuals (RSRR) and Partial Robustly Studentized Robust Residuals (PRSRR) are established. One problem with some robust residual plots is that the residuals retain information from certain predicated values (Velilla, 1998). The RSRR and PRSRR techniques are unaffected by this complication and as a result they provide more interpretable results. |
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