Robust regression and applications

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buir.advisorZaman, Asad
dc.contributor.authorKıracı, Arzdar
dc.date.accessioned2016-01-08T20:19:07Z
dc.date.available2016-01-08T20:19:07Z
dc.date.issued1996
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionIncludes bibliographical references leaves 36.en_US
dc.description.abstractThis study analyzes the effect of outliers in the regression analysis with the help of a written program in the programing language of GAUSS. The analysis relies on the subject of Robust Regression, which is explained and supported by experiments and applications. The applications contain examples to show the superiority of this technique.en_US
dc.description.statementofresponsibilityKıracı, Arzdaren_US
dc.format.extentvii, 36, xi leavesen_US
dc.identifier.urihttp://hdl.handle.net/11693/18418
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectRobust Regression,en_US
dc.subjectDefect of Ordinary Least Squares Regression.en_US
dc.subjectProgram for Robust Regressionen_US
dc.subjectMinimum Covariance Determinanten_US
dc.subjectMVEen_US
dc.subjectMinimum Volume Ellipsoiden_US
dc.subjectMCDen_US
dc.subjectLTSen_US
dc.subjectLeast Trinuned Squaresen_US
dc.subjectLMSen_US
dc.subjectLeast Median Squaresen_US
dc.subjectRobust Distanceen_US
dc.subjectLeverage Pointen_US
dc.subjectOutlieren_US
dc.subject.lccHB139 .K47 1996en_US
dc.subject.lcshRegression analysis.en_US
dc.titleRobust regression and applicationsen_US
dc.typeThesisen_US
thesis.degree.disciplineEconomics
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMA (Master of Arts)

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