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Understanding Data Envelopment Analysis by ARYA MANDI is a document available to read on EtoBox.

Data Envelopment Analysis (DEA) is a nonparametric method used to estimate production frontiers and measure the efficiency of decision-making units across various fields, including banking and machine learning. It allows for benchmarking of multi-dimensional inputs and outputs without needing to specify a production function, making it popular for its computational ease. DEA has evolved since its introduction in 1978, leading to various extensions and techniques to improve efficiency measurement and address

Author

ARYA MANDI

Language

EN