A multivariate statistical approach to reducing the number of variables in data envelopment analysis

By L. Jenkins, M. Anderson. European Journal of Operational Research, 2003

295 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/8f628559c5af69b4e637f18fcba05ca1ccb971a5

How researchers see this paper

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

In Control and Systems Engineering

1. Matthias Ehrgott
2. Carlos Artemio Coello Coello

In Economics and Econometrics

1. H. Lee
2. Yong-Tae Park

In Management Science and Operations Research

1. Kathrin Klamroth
2. Carlos Artemio Coello Coello

Citations in the corpus

• An international comparison of R&D efficiency: DEA approach (2005, background): “However, as DEA efficiency highly depends on the combinations of inputs and outputs (Jenkins and Anderson, 2003), it is necessary to study other combinations of inputs and outputs.”
• An MCDM approach to portfolio optimization (2004, background): “While the knowledge of a global utility function would have many advantages, its generation and, in particular, the specification of an appropriate number of utility points by the decision maker taking into account all criteria and their interrelations, is very difficult in practice (see, for exampl”