Computing confidence intervals for output-oriented DEA models / G. Souza in Journal of the operational research society (JORS), Vol. 62 N° 10 (Octobre 2011)  

Public ISBD [article]  inJournal of the operational research society (JORS) > Vol. 62 N° 10 (Octobre 2011) . - pp. 1844–1850 Titre : Computing confidence intervals for output-oriented DEA models : an application to agricultural research in Brazil Type de document : texte imprimé Auteurs : G. Souza, Auteur ; M. Souza, Auteur ; E. Gomes, Auteur Année de publication : 2011 Article en page(s) : pp. 1844–1850 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : Data envelopment analysis Confidence intervals Hootstrap Agricultural research Index. décimale : 001.424 Résumé : We define and model the research production at Embrapa, the major Brazilian institution responsible for applied agricultural research. The main theoretical framework is data envelopment analysis. We explore the economic interpretation and the statistical properties of these models to compute confidence intervals for output-oriented efficiency measurements. It was based on a parametric flexible model, defined by the truncated normal distribution. Intervals are calculated exploring a bootstrap approach. These results provide a better insight on the efficiency classification and allow comparisons among the decision making units involved in the evaluation process, taking into account random errors and inefficiency random variation. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v62/n10/abs/jors2010137a.html [article] Computing confidence intervals for output-oriented DEA models : an application to agricultural research in Brazil [texte imprimé] / G. Souza, Auteur ; M. Souza, Auteur ; E. Gomes, Auteur . - 2011 . - pp. 1844–1850. Recherche opérationnelle Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 62 N° 10 (Octobre 2011) . - pp. 1844–1850 Mots-clés : Data envelopment analysis Confidence intervals Hootstrap Agricultural research Index. décimale : 001.424 Résumé : We define and model the research production at Embrapa, the major Brazilian institution responsible for applied agricultural research. The main theoretical framework is data envelopment analysis. We explore the economic interpretation and the statistical properties of these models to compute confidence intervals for output-oriented efficiency measurements. It was based on a parametric flexible model, defined by the truncated normal distribution. Intervals are calculated exploring a bootstrap approach. These results provide a better insight on the efficiency classification and allow comparisons among the decision making units involved in the evaluation process, taking into account random errors and inefficiency random variation. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v62/n10/abs/jors2010137a.html

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