A Euclidean distance-based measure of efficiency in data envelopment analysis

By Alireza Amirteimoori, Sohrab Kordrostami. 2010

82 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Management Science and Operations Research, Media Technology

View Paper: https://www.semanticscholar.org/paper/94a50aec82d5d6328d342ac4a018055383eda2d5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Jesús T. Pastor
2. Juan Aparicio

In Management Science and Operations Research

1. Juan Aparicio
2. Jesús T. Pastor
3. Dong-hyun Oh

In Media Technology

1. Jesús T. Pastor
2. Juan Aparicio

Citations in the corpus

• On how to properly calculate the Euclidean distance-based measure in DEA (2014, methodology): “This article unfolds as follows: in the following section, we briefly describe the EDB measure proposed by Amirteimoori and Kordrostami [2].”
• A survey on missing data in machine learning (2021, methodology): “The analysis is done on a data set using the various missing data techniques, and the average of parameter estimates across M samples is computed into a single point estimate.”