Yayın:
A new Liu-type estimator

Basit öğe sayfası
dc.contributor.authorKurnaz, Fatma Sevinc
dc.contributor.authorAkay, Kadri Ulas
dc.contributor.institutionauthorKURNAZ, Fatma Sevinç
dc.date.accessioned2026-06-27T13:37:34Z
dc.date.issued2015
dc.description.abstractThe purpose of this paper is to introduce a new general Liu-type estimator which includes the ordinary least squares (OLS), ordinary ridge regression (ORR), Liu estimators and some estimators with two biasing parameters as special cases. Also, we investigate the superiority of the new Liu-type estimator to the OLS, ORR, Liu estimators and the estimators with two biasing parameters under the matrix mean squared error (MMSE) criterion. Furthermore, the results are illustrated both theoretically and graphically on the Portland cement dataset which is widely used in literature.en
dc.description.sponsorshipTUBITAK [BIDEB-2224]
dc.description.sponsorshipScientific Research Projects Coordination Unit of Istanbul University [UDP-24923]
dc.description.urihttps://doi.org/10.1007/s00362-014-0594-6
dc.identifier.doi10.1007/s00362-014-0594-6
dc.identifier.eissn1613-9798
dc.identifier.endpage517
dc.identifier.issn0932-5026
dc.identifier.issue2
dc.identifier.startpage495
dc.identifier.urihttps://hdl.handle.net/20.500.14981/53878
dc.identifier.volume56
dc.identifier.wos000352289500012
dc.language.isoeng
dc.publisherSPRINGER
dc.relation.ispartofSTATISTICAL PAPERS
dc.subjectBiased regression
dc.subjectMean squared error
dc.subjectMulticollinearity
dc.subjectRidge regression
dc.subjectLiu estimator
dc.subjectMEAN-SQUARE ERROR
dc.subjectLINEAR-REGRESSION
dc.subjectMathematics
dc.titleA new Liu-type estimator
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

Dosyalar

Koleksiyonlar

Yayınlar