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Research into multiple outliers in linear regression analysis
dc.contributor.author | Aşıkgil, Barış | |
dc.contributor.author | Erar, Aydın | |
dc.date.accessioned | 2022-06-08T18:31:32Z | |
dc.date.available | 2022-06-08T18:31:32Z | |
dc.date.issued | 2009 | |
dc.identifier.issn | 1303-5010 | |
dc.identifier.issn | 2651-477X | |
dc.identifier.uri | https://app.trdizin.gov.tr/makale/T1RFNE1UVTE/rese | |
dc.identifier.uri | https://hdl.handle.net/20.500.14124/121 | |
dc.description.abstract | Studying the observations in regression analysis it is seen that the out- put of regression is affected from outliers in the direction of the depen- dent and / or the independent variables. In this paper multiple outliers are examined in two real data sets. The results concerned with which method can determine multiple outliers better are examined with the help of some statistics and REC curve which can be used for determin- ing efficiency. Also, the results are tried to support by using Monte Carlo Simulation. | en_US |
dc.language.iso | eng | en_US |
dc.relation.ispartof | Hacettepe Journal of Mathematics and Statistics | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Matematik | en_US |
dc.subject | İstatistik ve Olasılık | en_US |
dc.title | Research into multiple outliers in linear regression analysis | en_US |
dc.type | article | en_US |
dc.department | . . . | en_US |
dc.institutionauthor | . . . | |
dc.identifier.volume | 38 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.startpage | 185 | en_US |
dc.identifier.endpage | 198 | en_US |
dc.relation.publicationcategory | Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.trdizinid | T1RFNE1UVTE/rese | en_US |
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