Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/5728
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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Faria, Susana | - |
dc.contributor.author | Melfi, Giuseppe | - |
dc.date.accessioned | 2006-10-26T15:14:56Z | - |
dc.date.available | 2006-10-26T15:14:56Z | - |
dc.date.issued | 2006-07 | - |
dc.identifier.citation | INTERNATIONAL CONFERENCE ON ROBUST STATISTICS, Lisboa, 2006 – “ICORS06 - International Conference on Robust Statistics”. ". [S.l. : s.n., 2006]. | eng |
dc.identifier.uri | https://hdl.handle.net/1822/5728 | - |
dc.description.abstract | The detection of outliers for the standard least squares regression is a problem which has been extensevily studied. Lad Regression diagnostics offers alternative approaches whose main feature is the robustness. In this work, we propose a nonparametric method for detecting outliers in LAD regression models and compare t to other classical methods. | eng |
dc.description.sponsorship | The European Science Foundation, The Minerva Research Foundation, CEMAT, UIMA, INE,SPSS, Timberlake Consultants | eng |
dc.language.iso | eng | eng |
dc.rights | openAccess | eng |
dc.subject | Lad regression | eng |
dc.subject | Robustness | eng |
dc.subject | Outliers | eng |
dc.title | A non parametric robust method for the detection of outliers in linear models | eng |
dc.type | conferenceAbstract | eng |
dc.peerreviewed | yes | eng |
Aparece nas coleções: | Offmath - Livros de Actas |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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abstract.pdf | 100,6 kB | Adobe PDF | Ver/Abrir |