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An Approach to Variable Aggregation in Efficiency Analysis
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Orientador(es)
Resumo(s)
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.
Descrição
Conference: The paper is selected from International Conference "Classification, Forecasting, Data Mining" CFDM 2009, Varna, Bulgaria, June-July 2009.
Palavras-chave
Canonical Correlation Analysis Data Envelopment Analysis Efficiency Variable Aggregation Multivariate Statistics Data Mining
Contexto Educativo
Citação
Noncheva, Veska; Mendes, Armando Brito; Silva, Emiliana. "An Approach to Variable Aggregation in Efficiency Analysis". «International Book Series 'Information Science and Computing' : Classification, Forecasting, Data Mining», Book 8, (Supplement to the International Journal "Information Technologies & Knowledge", Volume 3): 97-104, 2009. http://hdl.handle.net/10525/1195.
Editora
Institute of Information Theories and Applications FOI ITHEA