Methodology for calculating critical values of relevance measures in variable selection methods in data envelopment analysis
The selection of input and output variables is a key step in evaluating the relative efficiency of decision- making units (DMUs) in data envelopment analysis (DEA). In this paper, we present a methodology based on Monte Carlo simulations and bootstrapping for calculating the critical values of relev...
- Autores:
-
Villanueva-Cantillo, Jeyms
Munoz-Marquez, Manuel
- Tipo de recurso:
- Fecha de publicación:
- 2021
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/8028
- Acceso en línea:
- https://hdl.handle.net/20.500.12442/8028
https://doi.org/10.1016/j.ejor.2020.08.021
https://www.sciencedirect.com/science/article/pii/S0377221720307293
- Palabra clave:
- Data envelopment analysis
Variable selection
Critical values
Monte Carlo simulations
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 Internacional