Stepwise selection of variables in data envelopment analysis: procedures and managerial perspectives
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Publication:869148
DOI10.1016/j.ejor.2006.02.048zbMath1114.90040OpenAlexW2049758055MaRDI QIDQ869148
Daniel G. Shimshak, Janet M. Wagner
Publication date: 26 February 2007
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2006.02.048
Polyhedral combinatorics, branch-and-bound, branch-and-cut (90C57) Deterministic scheduling theory in operations research (90B35)
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Stepwise regression data envelopment analysis for variable reduction ⋮ Variable selection in data envelopment analysis via Akaike's information criteria ⋮ Ensemble Based Ranking of Decision Making Units ⋮ Dimension-specific efficiency measurement using data envelopment analysis ⋮ Improving discrimination in data envelopment analysis without losing information based on Renyi's entropy ⋮ Comparison of variable selection techniques for data envelopment analysis in a retail bank ⋮ Methodology for calculating critical values of relevance measures in variable selection methods in data envelopment analysis ⋮ Variable selection in data envelopment analysis ⋮ Fuzzy data envelopment analysis and its application to location problems ⋮ The curse of dimensionality of decision-making units: a simple approach to increase the discriminatory power of data envelopment analysis ⋮ Variable selection in convex quantile regression: \(\mathcal{L}_1\)-norm or \(\mathcal{L}_0\)-norm regularization? ⋮ On some methods for performance ranking and correspondence analysis in the DEA context ⋮ Evaluating Returns to Scale and Convexity in DEA Via Bootstrap: A Case Study with Brazilian Port Terminals
Cites Work
- Measuring the efficiency of decision making units
- Evaluating physician efficiency in hospitals: A multivariate analysis of best practices
- Target setting: An application to a bank branch network
- Academic departments efficiency via DEA
- Combining ranking scales and selecting variables in the DEA context: The case of industrial branches.
- A multivariate statistical approach to reducing the number of variables in data envelopment analysis
- A Statistical Test for Nested Radial Dea Models
- Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation
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