A non-archimedean dea model to assess group comparisons.

Detalhes bibliográficos
Autor(a) principal: SOUZA, G. da S. e
Data de Publicação: 2016
Outros Autores: GOMES, E. G.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1066629
Resumo: We consider the use of the non-Archimedean infinitesimal epsilon in DEA-CCR models. The application of interest is defined by the performance measure of the Brazilian Agricultural Research Corporation research centers. We characterize an assurance region for the non-Archimedean element and suggest a value for it. Types of DMUs are compared using fractional regression models and quasi maximum likelihood inference. We conclude that the research centers aimed at studying specific agricultural products are dominant. The classic DEA-CCR performance measures and the solution provided by non-Archimedeanmodel have Spearman correlation over 90%.
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spelling A non-archimedean dea model to assess group comparisons.Non-zero weightsFractional regressionWe consider the use of the non-Archimedean infinitesimal epsilon in DEA-CCR models. The application of interest is defined by the performance measure of the Brazilian Agricultural Research Corporation research centers. We characterize an assurance region for the non-Archimedean element and suggest a value for it. Types of DMUs are compared using fractional regression models and quasi maximum likelihood inference. We conclude that the research centers aimed at studying specific agricultural products are dominant. The classic DEA-CCR performance measures and the solution provided by non-Archimedeanmodel have Spearman correlation over 90%.GERALDO DA SILVA E SOUZA, SGI; ELIANE GONCALVES GOMES, SGI.SOUZA, G. da S. eGOMES, E. G.2017-03-09T11:11:11Z2017-03-09T11:11:11Z2017-03-0920162017-03-09T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePesquisa Operacional, Vol. 36(3), 2016.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1066629enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T04:17:38Zoai:www.alice.cnptia.embrapa.br:doc/1066629Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T04:17:38Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv A non-archimedean dea model to assess group comparisons.
title A non-archimedean dea model to assess group comparisons.
spellingShingle A non-archimedean dea model to assess group comparisons.
SOUZA, G. da S. e
Non-zero weights
Fractional regression
title_short A non-archimedean dea model to assess group comparisons.
title_full A non-archimedean dea model to assess group comparisons.
title_fullStr A non-archimedean dea model to assess group comparisons.
title_full_unstemmed A non-archimedean dea model to assess group comparisons.
title_sort A non-archimedean dea model to assess group comparisons.
author SOUZA, G. da S. e
author_facet SOUZA, G. da S. e
GOMES, E. G.
author_role author
author2 GOMES, E. G.
author2_role author
dc.contributor.none.fl_str_mv GERALDO DA SILVA E SOUZA, SGI; ELIANE GONCALVES GOMES, SGI.
dc.contributor.author.fl_str_mv SOUZA, G. da S. e
GOMES, E. G.
dc.subject.por.fl_str_mv Non-zero weights
Fractional regression
topic Non-zero weights
Fractional regression
description We consider the use of the non-Archimedean infinitesimal epsilon in DEA-CCR models. The application of interest is defined by the performance measure of the Brazilian Agricultural Research Corporation research centers. We characterize an assurance region for the non-Archimedean element and suggest a value for it. Types of DMUs are compared using fractional regression models and quasi maximum likelihood inference. We conclude that the research centers aimed at studying specific agricultural products are dominant. The classic DEA-CCR performance measures and the solution provided by non-Archimedeanmodel have Spearman correlation over 90%.
publishDate 2016
dc.date.none.fl_str_mv 2016
2017-03-09T11:11:11Z
2017-03-09T11:11:11Z
2017-03-09
2017-03-09T11:11:11Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Pesquisa Operacional, Vol. 36(3), 2016.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1066629
identifier_str_mv Pesquisa Operacional, Vol. 36(3), 2016.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1066629
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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