Publication:
Linear Regression Methods According to Objective Functions

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dc.authorscopusid36504950300
dc.authorscopusid36633823900
dc.contributor.authorŞişman, Yasemin
dc.contributor.authorBektaş, S.
dc.date.accessioned2020-06-21T09:28:32Z
dc.date.available2020-06-21T09:28:32Z
dc.date.issued2012
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Şişman] Yasemin, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Bektaş] Sebahattin, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractThe aim of the study is to explain the parameter estimation methods and the regression analysis. The simple linear regression methods grouped according to the objective function are introduced. The numerical solution is achieved for the simple linear regression methods according to objective function of Least Squares and the Least Absolute Value adjustment methods. The success of the applied methods is analyzed using their objective function values.en_US
dc.identifier.endpage217en_US
dc.identifier.issn1335-1788
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-84875712138
dc.identifier.scopusqualityQ2
dc.identifier.startpage209en_US
dc.identifier.volume17en_US
dc.identifier.wosqualityQ3
dc.language.isoenen_US
dc.relation.ispartofActa Montanistica Slovacaen_US
dc.relation.journalActa Montanistica Slovacaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLeast Absolute Value Methoden_US
dc.subjectLeast Squares Methoden_US
dc.subjectObjective Functionen_US
dc.subjectParameter Estimation Methodsen_US
dc.subjectRegression Analysisen_US
dc.titleLinear Regression Methods According to Objective Functionsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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