Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis

Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis edited by Joe Zhu, Wade D. Cook.

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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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Zhu, Joe (Editor), Cook, Wade D. (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2007.
Edition:1st ed. 2007.
Series:Springer eBook Collection.
Subjects:
Operations research.
Decision making.
Mathematical optimization.
Public finance.
Econometrics.
Business.
Management science.
Electronic resources (E-books)
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