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Registro Completo |
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
02/03/2010 |
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Data da última atualização: |
20/09/2011 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
SOUZA, G. da S. e; SOUZA, M. O. de; GOMES, E. G. |
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Afiliação: |
GERALDO DA SILVA E SOUZA, SGE; MIRIAN OLIVEIRA DE SOUZA, SGE; ELIANE GONCALVES GOMES, SGE. |
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Título: |
Computing confidence intervals for output oriented DEA models: an application to agricultural research in Brazil. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE PESQUISA OPERACIONAL, 41., 2009, Porto Seguro. |
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Idioma: |
Inglês |
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Conteúdo: |
We define and model the research production at Embrapa, the major Brazilian institution responsable for applied agricultural research. The main theoretical framework is Data Envelopment Analysis - DEA. We explore the economic interpretation and the statistical properties of these models to compute confidence intervals for output oriented efficiency measurements, based on a parametric flexible model, defined by the truncated normal distribution. These results provide a better insight on the efficiency classification and allow comparison among the DMUs involved int ehe evaluation process taking into account inefficiency random variation. |
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Palavras-Chave: |
Confidence intervals; DEA. |
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Thesaurus Nal: |
agricultural research. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/42222/1/Computing-confidenceintervals.pdf
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Marc: |
LEADER 01222nam a2200169 a 4500
001 1659417
005 2011-09-20
008 2009 bl uuuu u00u1 u #d
100 1 $aSOUZA, G. da S. e
245 $aComputing confidence intervals for output oriented DEA models$ban application to agricultural research in Brazil.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE PESQUISA OPERACIONAL, 41., 2009, Porto Seguro.$c2009
520 $aWe define and model the research production at Embrapa, the major Brazilian institution responsable for applied agricultural research. The main theoretical framework is Data Envelopment Analysis - DEA. We explore the economic interpretation and the statistical properties of these models to compute confidence intervals for output oriented efficiency measurements, based on a parametric flexible model, defined by the truncated normal distribution. These results provide a better insight on the efficiency classification and allow comparison among the DMUs involved int ehe evaluation process taking into account inefficiency random variation.
650 $aagricultural research
653 $aConfidence intervals
653 $aDEA
700 1 $aSOUZA, M. O. de
700 1 $aGOMES, E. G.
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Embrapa Unidades Centrais (AI-SEDE) |
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