Forward search outlier detection in data envelopment analysis

DOI10.1016/j.ejor.2011.07.023zbMath1237.90107OpenAlexW2044737319MaRDI QIDQ421736

Tiziano Bellini

Publication date: 14 May 2012

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2011.07.023

zbMATH Keywords

super-efficiencyforward searchoutlier detectiondata envelopment analysis (DEA)

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)

Related Items (3)

Robust maximum likelihood estimation of stochastic frontier models ⋮ Quantile estimation of stochastic frontiers with the normal-exponential specification ⋮ Integrated bank risk modeling: a bottom-up statistical framework

Cites Work

• Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
• Measuring the efficiency of decision making units
• Robust bivariate boxplots and multiple outlier detection.
• An iterative method for the detection of multivariate outliers
• Exploring multivariate data with the forward search.
• Robust diagnostic regression analysis
• Robust analysis of default intensity
• The super-efficiency procedure for outlier identification, not for ranking efficient units
• Detecting atypical observations in financial data: the forward search for elliptical copulas
• Data Envelopment Analysis as Nonparametric Least-Squares Regression
• Equivalent standard DEA models to provide super-efficiency scores

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