Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/26545
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Macedo, Pedro | pt_PT |
dc.date.accessioned | 2019-09-16T16:57:14Z | - |
dc.date.available | 2019-09-16T16:57:14Z | - |
dc.date.issued | 2019 | - |
dc.identifier.isbn | 978-989-8780-07-2 | - |
dc.identifier.uri | http://hdl.handle.net/10773/26545 | - |
dc.description.abstract | Stochastic 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.sponsorship | The author was supported by Fundação para a Ciência e a Tecnologia (FCT), within project UID/MAT/04106/2019 (CIDMA). | pt_PT |
dc.language.iso | eng | pt_PT |
dc.publisher | APDR | pt_PT |
dc.relation | UID/MAT/04106/2019 | pt_PT |
dc.rights | openAccess | pt_PT |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Efficiency analysis | pt_PT |
dc.subject | Ill-posed models | pt_PT |
dc.subject | Info-metrics | pt_PT |
dc.title | A note on the estimation of stochastic and deterministic production frontiers with maximum entropy | pt_PT |
dc.type | conferenceObject | pt_PT |
dc.description.version | published | pt_PT |
dc.peerreviewed | yes | pt_PT |
ua.event.date | 4-5 july, 2019 | pt_PT |
degois.publication.firstPage | 540 | pt_PT |
degois.publication.lastPage | 543 | pt_PT |
degois.publication.title | 26th APDR Congress | pt_PT |
dc.relation.publisherversion | http://apdr.pt/data/documents/ATAS_APDRcongress2019.pdf | pt_PT |
Appears in Collections: | CIDMA - Comunicações PSG - Comunicações |
Files in This Item:
File | Description | Size | Format | |
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RiaAPDR.pdf | 72.5 kB | Adobe PDF | View/Open |
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