Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis

In a relatively short period of time, Data Envelopment Analysis (DEA) has grown into a powerful quantitative, analytical tool for measuring and evaluating performance. It has been successfully applied to a whole variety of problems in many different contexts worldwide. The analysis of an array of th...

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Corporate Author: SpringerLink (Online service)
Other Authors: Zhu, Joe., Cook, Wade D.
Format: Electronic
Language: English
Published: Boston, MA : Springer US, 2007.
Subjects:
Online Access: http://dx.doi.org/10.1007/978-0-387-71607-7
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