DEA-based hypothesis tests for comparing two groups of decision making units
From MaRDI portal
Publication:976428
DOI10.1016/j.ejor.2010.01.027zbMath1188.90120OpenAlexW2068517793MaRDI QIDQ976428
Rajiv D. Banker, Ram Natarajan, Zhiqiang (Eric) Zheng
Publication date: 11 June 2010
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2010.01.027
Applications of statistics in engineering and industry; control charts (62P30) Management decision making, including multiple objectives (90B50)
Related Items
A bi-objective weighted model for improving the discrimination power in MCDEA ⋮ Analyzing the accuracy of variable returns to scale data envelopment analysis models ⋮ Comparing group performance over time through the Luenberger productivity indicator: an application to school ownership in European countries ⋮ Constant and variable returns to scale DEA models for socially responsible investment funds ⋮ Do mutual fund managers earn their fees? New measures for performance appraisal ⋮ DEA models with a constant input for SRI mutual funds with an application to European and Swedish funds
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Data envelopment analysis (DEA) -- thirty years on
- Organizational capability, efficiency, and effectiveness in major league baseball: 1901-2002
- Evolution of bank efficiency in Brazil: a DEA approach
- Comparative evaluation of performance of national R\& D programs with heterogeneous objectives: a DEA approach
- A Monte Carlo study of estimators of stochastic frontier production functions
- Formulation and estimation of stochastic frontier production function models
- A simulation study of DEA and parametric frontier models in the presence of heteroscedasticity.
- The super-efficiency procedure for outlier identification, not for ranking efficient units
- Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis
- Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
- Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation
- On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other