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P. Wilson, “Detecting Outliers in Deterministic Nonparametric Frontier Models with Multiple Outputs,” Journal of Business and Economic Statistics, Vol. 11, No. 3, 1993, pp. 319-323. doi:10.2307/1391956

has been cited by the following article:

• TITLE: Discriminating Among Relatively Efficient Units in Data Envelopment Analysis: A Comparison of Alternative Methods and Some Extensions

  AUTHORS: Antreas D. Athanassopoulos

  KEYWORDS: Data Envelopment Analysis; Cross-Efficiency; Super-Efficiency; Absolute Ranking; Linear Programming

  JOURNAL NAME: American Journal of Operations Research, Vol.2 No.1, March 14, 2012

  ABSTRACT: This paper concentrates on methods for comparing activity units found relatively efficient by data envelopment analysis (DEA). The use of the basic DEA models does not provide direct information regarding the performance of such units. The paper provides a systematic framework of alternative ways for ranking DEA-efficient units. The framework contains criteria derived as by-products of the basic DEA models and also criteria derived from complementary DEA analysis that needs to be carried out. The proposed framework is applied to rank a set of relatively efficient restaurants on the basis of their market efficiency.