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Outliers In Data Envelopment Analysis
Shaik Khaleel Ahamed, M. M. Naidu, C. Subba Rami Reddy
Pages - 164 - 173     |    Revised - 31-05-2015     |    Published - 30-06-2015
Volume - 9   Issue - 3    |    Publication Date - May / June 2015  Table of Contents
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KEYWORDS
Constant Return to Scale, Data Envelopment Analysis, Super Efficiency, Threshold Value.
ABSTRACT
Data Envelopment Analysis is a linear programming technique that assigns efficiency scores to firms engaged in producing similar outputs employing similar inputs. Extremely efficient firms are potential Outliers. The method developed detects Outliers, implementing Stochastic Threshold Value, with computational ease. It is useful in data filtering in BIG DATA problems.
CITED BY (1)  
1 Ahamed, S. K., Naidu, M. M., & Reddy, C. S. R. (2015). MOST INFLUENTIAL OBSERVATIONS-SUPER EFFICIENCY. International Journal on Computer Science and Engineering, 7(9), 82.
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Mr. Shaik Khaleel Ahamed
SV.UNIVERSITY - India
khaleelska@gmail.com
Professor M. M. Naidu
Professor, C.S.E. Dept S.V.U.College of Engineering S.V. University Tirupati, A.P, 517501, India - India
Professor C. Subba Rami Reddy
Professor, Statistics.Dept S.V. University Tirupati, A.P, 517501, India - India


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