A robust DEA model for measuring the relative efficiency of Iranian high schools

TL;DR: In this article, an empirical estimation of stochastic data envelopment analysis (DEA) is done to analyze the efficiency of irrigation water use in the agricultural production system in the Krishna river basin, India.

TL;DR: The findings support that the SOCPR-DEA model could well mitigate the deficiency caused by data variety, and the evidence from Chinese NEV industry shows that a focus strategy is more likely to enhance a firm’s efficiency especially at its emerging stage.

TL;DR: In this article, the authors present a survey of the state of the art in the field of bioinformatics and biomedicine, and propose a method to evaluate it.

TL;DR: In this article, the authors used two-stage data envelopment analysis (DEA) model to analyze the effects of entrance deregulation on the efficiency in the Iranian insurance market and proposed a robust optimization approach in order to overcome the sensitivity of DEA results to any uncertainty in the output parameters.

TL;DR: Two approaches in aggregating multiple inputs and multiple outputs in the evaluation of decision making units (DMUs), data envelopment analysis (DEA) and principal component analysis (PCA) are compared.

TL;DR: Data Envelopment Analysis (DEA) as mentioned in this paperernández et al. proposed a method of measuring performance in the public sector, specifically performance of school districts, which is closely related to the family of Farrell type efficiency measures as well as data envelopment analysis and can be viewed as a generalization of earlier work on educational production functions.

TL;DR: In this paper, an empirical estimation of a stochastic frontier Cobb-Douglas production function using micro data from a cross-section of Brazilian manufacturing firms is provided, and a measure of mean technical efficiency is also developed and employed with the Brazilian data.