Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/17966
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dc.contributor.authorMacedo, Pedropt
dc.date.accessioned2017-06-26T13:33:53Z-
dc.date.available2018-07-20T14:01:00Z-
dc.date.issued2017-
dc.identifier.issn0361-0918pt
dc.identifier.urihttp://hdl.handle.net/10773/17966-
dc.description.abstractIn this paper, the Ridge-GME parameter estimator, which combines Ridge Regression and Generalized Maximum Entropy, is improved in order to eliminate the subjectivity in the analysis of the ridge trace. A serious concern with the visual inspection of the ridge trace to define the supports for the parameters in the Ridge-GME parameter estimator is the misinterpretation of some ridge traces, in particular where some of them are very close to the axes. A simulation study and two empirical applications are used to illustrate the performance of the improved estimator. A MATLAB code is provided as supplementary material.pt
dc.language.isoengpt
dc.publisherTaylor & Francispt
dc.relationFCT/CIDMA - UID/MAT/04106/2013pt
dc.rightsopenAccesspor
dc.subjectGeneralized maximum entropypt
dc.subjectRidge regressionpt
dc.subjectShrinkage estimationpt
dc.titleRidge regression and generalized maximum entropy: an improved version of the Ridge-GME parameter estimatorpt
dc.typearticlept
dc.peerreviewedyespt
ua.distributioninternationalpt
degois.publication.firstPage3527pt
degois.publication.issuenº 5pt
degois.publication.lastPage3539pt
degois.publication.titleCommunications in Statistics - Simulation and Computationpt
degois.publication.volumeVol. 46pt
dc.date.embargo2018-01-01T14:00:00Z-
dc.identifier.doi10.1080/03610918.2015.1096378pt
Appears in Collections:CIDMA - Artigos
PSG - Artigos

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