A non-archimedean dea model to assess group comparisons.

A non-archimedean dea model to assess group comparisons.

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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Bibliographic Details
Main Authors: SOUZA, G. da S. e, GOMES, E. G.
Other Authors: GERALDO DA SILVA E SOUZA, SGI; ELIANE GONCALVES GOMES, SGI.
Format: Artigo de periódico biblioteca
Language:English
eng
Published: 2017-03-09
Subjects:Non-zero weights, Fractional regression,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1066629
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spelling dig-alice-doc-10666292017-08-16T04:17:38Z A non-archimedean dea model to assess group comparisons. SOUZA, G. da S. e GOMES, E. G. GERALDO DA SILVA E SOUZA, SGI; ELIANE GONCALVES GOMES, SGI. Non-zero weights Fractional regression 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%. 2017-03-09T11:11:11Z 2017-03-09T11:11:11Z 2017-03-09 2016 2017-03-09T11:11:11Z Artigo de periódico Pesquisa Operacional, Vol. 36(3), 2016. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1066629 en eng openAccess
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language English
eng
topic Non-zero weights
Fractional regression
Non-zero weights
Fractional regression
spellingShingle Non-zero weights
Fractional regression
Non-zero weights
Fractional regression
SOUZA, G. da S. e
GOMES, E. G.
A non-archimedean dea model to assess group comparisons.
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%.
author2 GERALDO DA SILVA E SOUZA, SGI; ELIANE GONCALVES GOMES, SGI.
author_facet GERALDO DA SILVA E SOUZA, SGI; ELIANE GONCALVES GOMES, SGI.
SOUZA, G. da S. e
GOMES, E. G.
format Artigo de periódico
topic_facet Non-zero weights
Fractional regression
author SOUZA, G. da S. e
GOMES, E. G.
author_sort SOUZA, G. da S. e
title A non-archimedean dea model to assess group comparisons.
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 non-archimedean dea model to assess group comparisons.
publishDate 2017-03-09
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1066629
work_keys_str_mv AT souzagdase anonarchimedeandeamodeltoassessgroupcomparisons
AT gomeseg anonarchimedeandeamodeltoassessgroupcomparisons
AT souzagdase nonarchimedeandeamodeltoassessgroupcomparisons
AT gomeseg nonarchimedeandeamodeltoassessgroupcomparisons
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