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2010•Management Journal of Sustainable Business and Management Solutions in Emerging EconomiesRequires access

Data envelopment analysis and its application in education

Violeta Cvetkoska

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Abstract

Data Envelopment Analysis (DEA) is a relatively new nonparametric approach for evaluating the performance of complex entities called Decision Making Units (DMUs) which convert multiple inputs into multiple outputs. In a relatively short period of time Data Envelopment Analysis (DEA) has grown into a powerful, quantitative, analytical tool for measuring efficiency of decision making units. DEA has been successfully applied in many different fields in worldwide. This paper provides introduction to DEA and describes the application of Data Envelopment Analysis in education.

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What this paper is about

Data Envelopment Analysis (DEA) is a relatively new nonparametric approach for evaluating the performance of complex entities called Decision Making Units (DMUs) which convert multiple inputs into multiple outputs. In a relatively short period of time Data Envelopment Analysis (DEA) has grown into a powerful, quantitative, analytical tool for measuring efficiency of decision making units. DEA has been successfully applied in many different fields in worldwide. This paper provides introduction to DEA and describes the application of Data Envelopment Analysis in education.

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Available abstract

Data Envelopment Analysis (DEA) is a relatively new nonparametric approach for evaluating the performance of complex entities called Decision Making Units (DMUs) which convert multiple inputs into multiple outputs. In a relatively short period of time Data Envelopment Analysis (DEA) has grown into a powerful, quantitative, analytical tool for measuring efficiency of decision making units. DEA has been successfully applied in many different fields in worldwide. This paper provides introduction to DEA and describes the application of Data Envelopment Analysis in education.

Key concepts: Data envelopment analysis, Envelopment, Nonparametric statistics, Computer science, Operations research, Econometrics, Engineering, Statistics

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