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A software framework for measuring efficiency.

dc.contributor.authorNoncheva, Veska
dc.contributor.authorMendes, Armando B.
dc.contributor.authorSilva, Emiliana
dc.date.accessioned2013-07-29T14:39:30Z
dc.date.available2013-07-29T14:39:30Z
dc.date.issued2009-07
dc.date.updated2013-07-26T16:17:06Z
dc.descriptionTrabalho apresentado em UseR Conference, Rennes, França, Julho 8 a 10 de 2009.por
dc.description.abstract"[...]. PAR is a software framework using a variety of models estimating efficiency and providing results explanation functionality. [...]. We are applying PAR framework to estimate the efficiency of the agricultural system in Azores [Mendes et al., 2009]. All Azorean farms will be clustered into homogeneous groups according to their efficiency measurements to define clusters of "good" practices and cluster of "less good" practices. This makes PAR appropriate to support public policies in agriculture sector in Azores. [...]"en
dc.description.sponsorshipThis work has been partially supported by Regional Directorate for Science and Technology of Azores Government through the project M.2.1.2/l/009/2008, "Productivity Analysis of Azorean Cattle-Breeding Farms with R Statistical Software".en
dc.identifier.citationNoncheva, Veska; Mendes, Armando e Silva , Emiliana (2009). "A Software Framework for Measuring Efficiency". UseR Conference, Rennes, França, Julho 8-10 (Comunicação).en
dc.identifier.urihttp://hdl.handle.net/10400.3/2173
dc.language.isoengpor
dc.subjectNon-parametric Data Analysisen
dc.subjectData Envelopment Analysisen
dc.subjectAzoresen
dc.titleA software framework for measuring efficiency.en
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceAgrocampus-Ouest, Rennes, Francepor
oaire.citation.titleUseR Conferenceen
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor

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