A test for normality based on robust regression residuals

dc.contributor.authorOnder, AO
dc.contributor.authorZaman, A
dc.contributor.editorDutter, R
dc.contributor.editorFilzmoser, P
dc.contributor.editorGather, U
dc.contributor.editorRousseeuw, PJ
dc.date.accessioned2019-10-27T19:02:23Z
dc.date.available2019-10-27T19:02:23Z
dc.date.issued2003
dc.departmentEge Üniversitesien_US
dc.descriptionInternational Conference on Robust Statistics (ICOR 2001) -- JUL 23-27, 2001 -- VORAU, AUSTRIAen_US
dc.description.abstractWe attempt to investigate the effects of using residuals from robust regression replacing OLS residuals in test statistics for the normality of the errors. We have found that this can lead to substantially improved ability to detect lack of normality in suitable situations. We derive the asymptotic distribution of the robustified normality test as chi-squared with 2 degrees of freedom under the null hypothesis of normality of the error terms. The high breakdown property of the test statistic is discussed. By using simulations, we have found that situations where a small subpopulation exhibits characteristics which are different from the main population are the ones which ideally suit to the use of robustified normality tests. We have employed several real data sets from the literature to show that these types of situations arise frequently in real data sets.en_US
dc.description.sponsorshipEuropean Commissen_US
dc.identifier.endpage306en_US
dc.identifier.isbn3-7908-1518-7
dc.identifier.startpage296en_US
dc.identifier.urihttps://hdl.handle.net/11454/38004
dc.identifier.wosWOS:000179943000026en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherPhysica-Verlag Gmbh & Coen_US
dc.relation.ispartofDevelopments in Robust Statisticsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleA test for normality based on robust regression residualsen_US
dc.typeConference Objecten_US

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