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Optimum smoothing parameter selection for penalized least squares in form of linear mixed effect models

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dc.contributor.authorMemmedli, Memmedağa
dc.contributor.authorMemmedağa Memmedli
dc.contributor.orcid0000-0001-8393-1270
dc.contributor.orcid0000-0002-9967-4237
dc.date.accessioned2025-11-13T10:36:49Z
dc.date.issued2011-07-14
dc.identifier.doihttps://doi.org/10.1080/02331934.2011.574698
dc.identifier.endpage476
dc.identifier.issn0233-1934
dc.identifier.issue4
dc.identifier.openalexW2030613713
dc.identifier.startpage459
dc.identifier.urihttps://hdl.handle.net/11421/4711
dc.identifier.urihttps://doi.org/10.1080/02331934.2011.574698
dc.identifier.volume61
dc.language.isoen
dc.relation.ispartofOptimization
dc.rightsrestrictedAccess
dc.subjectAkaike information criterion
dc.subjectSmoothing
dc.subjectMathematics
dc.subjectSelection (genetic algorithm)
dc.subjectMathematical optimization
dc.subjectInformation Criteria
dc.subjectSmoothing spline
dc.subjectCross-validation
dc.subjectModel selection
dc.subjectLeast-squares function approximation
dc.subjectRestricted maximum likelihood
dc.subjectApplied mathematics
dc.subjectSpline (mechanical)
dc.subjectAlgorithm
dc.subjectEstimation theory
dc.subjectStatistics
dc.subjectComputer science
dc.subjectMachine learning
dc.subject.sdg16
dc.titleOptimum smoothing parameter selection for penalized least squares in form of linear mixed effect models
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5047668983

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