Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/26545
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dc.contributor.authorMacedo, Pedropt_PT
dc.date.accessioned2019-09-16T16:57:14Z-
dc.date.available2019-09-16T16:57:14Z-
dc.date.issued2019-
dc.identifier.isbn978-989-8780-07-2-
dc.identifier.urihttp://hdl.handle.net/10773/26545-
dc.description.abstractStochastic frontier analysis with maximum entropy estimation has received considerable attention in the literature in the recent years. In this work, the estimation of stochastic and deterministic production frontiers with maximum entropy methods, the advantages and disadvantages relatively to maximum likelihood, and some proposals to improve maximum entropy estimation in this context are presented and discussed.pt_PT
dc.description.sponsorshipThe author was supported by Fundação para a Ciência e a Tecnologia (FCT), within project UID/MAT/04106/2019 (CIDMA).pt_PT
dc.language.isoengpt_PT
dc.publisherAPDRpt_PT
dc.relationUID/MAT/04106/2019pt_PT
dc.rightsopenAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectEfficiency analysispt_PT
dc.subjectIll-posed modelspt_PT
dc.subjectInfo-metricspt_PT
dc.titleA note on the estimation of stochastic and deterministic production frontiers with maximum entropypt_PT
dc.typeconferenceObjectpt_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
ua.event.date4-5 july, 2019pt_PT
degois.publication.firstPage540pt_PT
degois.publication.lastPage543pt_PT
degois.publication.title26th APDR Congresspt_PT
dc.relation.publisherversionhttp://apdr.pt/data/documents/ATAS_APDRcongress2019.pdfpt_PT
Appears in Collections:CIDMA - Comunicações
PSG - Comunicações

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