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Combining Some Biased Estimation Methods with Least Trimmed Squares Regression and its Application

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dc.contributor.authorKan, Betül
dc.contributor.authorÖzlem Alpu
dc.contributor.orcid0000-0002-3746-2327
dc.date.accessioned2025-11-13T11:38:27Z
dc.date.issued2015-07-15
dc.identifier.doihttps://doi.org/10.15446/rce.v38n2.51675
dc.identifier.endpage502
dc.identifier.issn0120-1751
dc.identifier.issue2
dc.identifier.openalexW1832695073
dc.identifier.startpage485
dc.identifier.urihttps://hdl.handle.net/11421/7464
dc.identifier.urihttps://doi.org/10.15446/rce.v38n2.51675
dc.identifier.volume38
dc.language.isoen
dc.relation.ispartofRevista Colombiana de Estadística
dc.rightsopenAccess
dc.subjectOutlier
dc.subjectMulticollinearity
dc.subjectRobust regression
dc.subjectEstimator
dc.subjectLeast trimmed squares
dc.subjectRobust statistics
dc.subjectStatistics
dc.subjectMathematics
dc.subjectRegression
dc.subjectVariance inflation factor
dc.subjectRegression analysis
dc.subjectGeneralized least squares
dc.subjectLeast-squares function approximation
dc.subjectM-estimator
dc.subjectEconometrics
dc.titleCombining Some Biased Estimation Methods with Least Trimmed Squares Regression and its Application
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5026855122

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