Using the bootstrap method to detect influential DMUs in data envelopment analysis

DOI10.1007/s10479-009-0520-9zbMath1185.62084OpenAlexW2050895424MaRDI QIDQ970147

Dongming Sun, Xiao-Gang Wang, Zi-Jiang Yang

Publication date: 10 May 2010

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-009-0520-9

zbMATH Keywords

entropyoutliersdecision-making unit (DMU)

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Nonparametric statistical resampling methods (62G09) Nonparametric inference (62G99)

Related Items (1)

Influential DMUs and outlier detection in data envelopment analysis with an application to health care

Uses Software

• R
• S-PLUS
• bootstrap

Cites Work

• A statistical test for detecting influential observations in DEA
• Bootstrap methods: another look at the jackknife
• Super-efficiency and DEA sensitivity analysis
• Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models
• Note: Ranking DMUs with Infeasible Super-Efficiency DEA Models
• A Procedure for Ranking Efficient Units in Data Envelopment Analysis
• Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation
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