An Approach to Variable Aggregation in Efficiency Analysis

Detalhes bibliográficos
Autor(a) principal: Noncheva, Veska
Data de Publicação: 2009
Outros Autores: Mendes, Armando B., Silva, Emiliana
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.3/2144
Resumo: Conference: The paper is selected from International Conference "Classification, Forecasting, Data Mining" CFDM 2009, Varna, Bulgaria, June-July 2009.
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spelling An Approach to Variable Aggregation in Efficiency AnalysisCanonical Correlation AnalysisData Envelopment AnalysisEfficiencyVariable AggregationMultivariate StatisticsData MiningConference: The paper is selected from International Conference "Classification, Forecasting, Data Mining" CFDM 2009, Varna, Bulgaria, June-July 2009.In the nonparametric framework of Data Envelopment Analysis the statistical properties of its estimators have been investigated and only asymptotic results are available. For DEA estimators results of practical use have been proved only for the case of one input and one output. However, in the real world problems the production process is usually well described by many variables. In this paper a machine learning approach to variable aggregation based on Canonical Correlation Analysis is presented. This approach is applied for efficiency estimation of all the farms in Terceira Island of the Azorean archipelago.Institute of Information Theories and Applications FOI ITHEARepositório da Universidade dos AçoresNoncheva, VeskaMendes, Armando B.Silva, Emiliana2013-07-19T16:47:59Z20092013-07-17T15:18:32Z2009-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.3/2144eng1313-0455 (Print)info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-12-20T14:29:53Zoai:repositorio.uac.pt:10400.3/2144Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:24:51.663314Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv An Approach to Variable Aggregation in Efficiency Analysis
title An Approach to Variable Aggregation in Efficiency Analysis
spellingShingle An Approach to Variable Aggregation in Efficiency Analysis
Noncheva, Veska
Canonical Correlation Analysis
Data Envelopment Analysis
Efficiency
Variable Aggregation
Multivariate Statistics
Data Mining
title_short An Approach to Variable Aggregation in Efficiency Analysis
title_full An Approach to Variable Aggregation in Efficiency Analysis
title_fullStr An Approach to Variable Aggregation in Efficiency Analysis
title_full_unstemmed An Approach to Variable Aggregation in Efficiency Analysis
title_sort An Approach to Variable Aggregation in Efficiency Analysis
author Noncheva, Veska
author_facet Noncheva, Veska
Mendes, Armando B.
Silva, Emiliana
author_role author
author2 Mendes, Armando B.
Silva, Emiliana
author2_role author
author
dc.contributor.none.fl_str_mv Repositório da Universidade dos Açores
dc.contributor.author.fl_str_mv Noncheva, Veska
Mendes, Armando B.
Silva, Emiliana
dc.subject.por.fl_str_mv Canonical Correlation Analysis
Data Envelopment Analysis
Efficiency
Variable Aggregation
Multivariate Statistics
Data Mining
topic Canonical Correlation Analysis
Data Envelopment Analysis
Efficiency
Variable Aggregation
Multivariate Statistics
Data Mining
description Conference: The paper is selected from International Conference "Classification, Forecasting, Data Mining" CFDM 2009, Varna, Bulgaria, June-July 2009.
publishDate 2009
dc.date.none.fl_str_mv 2009
2009-01-01T00:00:00Z
2013-07-19T16:47:59Z
2013-07-17T15:18:32Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.3/2144
url http://hdl.handle.net/10400.3/2144
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1313-0455 (Print)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Information Theories and Applications FOI ITHEA
publisher.none.fl_str_mv Institute of Information Theories and Applications FOI ITHEA
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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