A NON-ARCHIMEDEAN DEA MODEL TO ASSESS GROUP COMPARISONS

Detalhes bibliográficos
Autor(a) principal: Souza,Geraldo da Silva e
Data de Publicação: 2016
Outros Autores: Gomes,Eliane Gonçalves
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382016000300533
Resumo: ABSTRACT 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-Archimedean model have Spearman correlation over 90%.
id SOBRAPO-1_db2c1b2e9ca0c7c50d0654430d33c27b
oai_identifier_str oai:scielo:S0101-74382016000300533
network_acronym_str SOBRAPO-1
network_name_str Pesquisa operacional (Online)
repository_id_str
spelling A NON-ARCHIMEDEAN DEA MODEL TO ASSESS GROUP COMPARISONSnon-Archimedean DEA modelsnon-zero weightsfractional regressionABSTRACT 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-Archimedean model have Spearman correlation over 90%.Sociedade Brasileira de Pesquisa Operacional2016-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382016000300533Pesquisa Operacional v.36 n.3 2016reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/0101-7438.2016.036.03.0533info:eu-repo/semantics/openAccessSouza,Geraldo da Silva eGomes,Eliane Gonçalveseng2017-02-14T00:00:00Zoai:scielo:S0101-74382016000300533Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2017-02-14T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)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,Geraldo da Silva e
non-Archimedean DEA models
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,Geraldo da Silva e
author_facet Souza,Geraldo da Silva e
Gomes,Eliane Gonçalves
author_role author
author2 Gomes,Eliane Gonçalves
author2_role author
dc.contributor.author.fl_str_mv Souza,Geraldo da Silva e
Gomes,Eliane Gonçalves
dc.subject.por.fl_str_mv non-Archimedean DEA models
non-zero weights
fractional regression
topic non-Archimedean DEA models
non-zero weights
fractional regression
description ABSTRACT 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-Archimedean model have Spearman correlation over 90%.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382016000300533
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382016000300533
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0101-7438.2016.036.03.0533
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
dc.source.none.fl_str_mv Pesquisa Operacional v.36 n.3 2016
reponame:Pesquisa operacional (Online)
instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
instname_str Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron_str SOBRAPO
institution SOBRAPO
reponame_str Pesquisa operacional (Online)
collection Pesquisa operacional (Online)
repository.name.fl_str_mv Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
repository.mail.fl_str_mv ||sobrapo@sobrapo.org.br
_version_ 1750318018135588864

Registros relacionados