A statistical test for detecting influential observations in DEA
From MaRDI portal
Publication:1125095
DOI10.1016/S0377-2217(98)00153-2zbMath0953.91055OpenAlexW2064891745MaRDI QIDQ1125095
Inmaculada Sirvent, José Luis Ruiz, Jesus T. Pastor
Publication date: 29 November 1999
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0377-2217(98)00153-2
Applications of statistics to economics (62P20) Nonparametric hypothesis testing (62G10) Management decision making, including multiple objectives (90B50) Production theory, theory of the firm (91B38)
Related Items (9)
Assessing bids of Greek public organizations service providers using data envelopment analysis ⋮ Influential observations in frontier models, a robust non-oriented approach to the water sector ⋮ A new measure for detecting influential DMUs in DEA ⋮ Influential DMUs and outlier detection in data envelopment analysis with an application to health care ⋮ Using the bootstrap method to detect influential DMUs in data envelopment analysis ⋮ Techniques for the assessment of influence in DEA ⋮ A unified model for detecting efficient and inefficient outliers in data envelopment analysis ⋮ Unnamed Item ⋮ Evaluating Returns to Scale and Convexity in DEA Via Bootstrap: A Case Study with Brazilian Port Terminals
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
- Measuring the efficiency of decision making units
- The influence curve approach in data envelopment analysis
- An enhanced DEA Russell graph efficiency measure
- On the relative efficiency of alternative modes of producing a public sector output: The case of the developmentally disabled
- Measuring macroeconomic performance in the OECD: A comparison of European and non-European countries
- Validation and generalization of DEA and its uses
- Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models
- A Statistical Test for Nested Radial Dea Models
- A Procedure for Ranking Efficient Units in Data Envelopment Analysis
- Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation
- Using Rank Statistics for Determining Programmatic Efficiency Differences in Data Envelopment Analysis
This page was built for publication: A statistical test for detecting influential observations in DEA