A new method for detecting outliers in Data Envelopment Analysis

References

• Andrews , D. F. and Pregibon , D. 1978 . Finding the outliers that matter . Journal of the Royal Statistical Society , 40 : 85 – 93 . Series B (Methodological)
   Google Scholar
• Banker , R. D. , Charnes , A. and Cooper , W. W. 1984 . Some models for estimating technical and scale inefficiencies in data envelopment analysis . Management Science , 30 : 1078 – 92 .
   Web of Science ®Google Scholar
• Cazals , C. , Florens , J.-P. and Simar , L. 2002 . Nonparametric frontier estimation: a robust approach . Journal of Econometrics , 106 : 1 – 25 .
   Web of Science ®Google Scholar
• Charnes , A. , Cooper , W. W. and Rhodes , E. 1978 . Measuring the efficiency of decision making units . European Journal of Operational Research , 2 : 429 – 44 .
   Web of Science ®Google Scholar
• Farrell , M. 1957 . The measurement of productive efficiency . Journal of the Royal Statistical Society , 120 : 253 – 90 . Series A (General)
   Web of Science ®Google Scholar
• Fried , H. O. , Lovell , C. A. K. and Schmidt , S. S. , eds. 1993 . The Measurement of Productive Efficiency , Oxford : Oxford University Press .
   Google Scholar
• Simar , L. 2003 . Detecting outliers in frontier models: a simple approach . Journal of Productivity Analysis , 20 : 391 – 424 .
   Web of Science ®Google Scholar
• Timmer , C. P. 1971 . Using a probabilistic frontier function to measure technical efficiency . The Journal of Political Economy , 79 : 776 – 94 .
   Web of Science ®Google Scholar
• Wilson , P. 1993 . Detecting outliers in deterministic nonparametric frontier models with multiple outputs . Journal of Business and Economic Statistics , 11 : 319 – 23 .
   Web of Science ®Google Scholar