This paper examines the wide-spread practice where data envelopment analysis (DEA) efficiency estimates are regressed on some environmental variables in a secondstage analysis. In the literature, only two statistical models have been proposed in which second-stage regressions are well-defined and meaningful. In the model considered by Simar and Wilson (2007), truncated regression provides consi...

Economic, social and environmental dimensions are usually accepted as the three pillars of sustainable development. However, current methodologies for the assessment of the sustainability of product systems fail to cover economic, environmental and social parameters in a single combined approach. Even though the perfect methodology is still far off, this article attempts to provide insights on ...

This paper presents a data envelopment analysis (DEA) model combined with Bootstrapping to assess performance of one of the Data mining Algorithms. We applied a two-step process for performance productivity analysis of insurance branches within a case study. First, using a DEA model, the study analyzes the productivity of eighteen decision-making units (DMUs). Using a Malmquist index, DEA deter...

Benchmarking of container terminals is an important issue facing port management. Data envelopment analysis (DEA), which is a multi-factor productivity measurement tool is generally used in assessing the relative efficiency of homogenous units and setting benchmark for inefficient units. Evaluation of container terminals by DEA produces limited set of efficient units which are reference to inef...

The research was performed in 16 emerging countries from 1990 to 2014, using a two-step approach. First, slacks-based (SBM)–data envelopment analysis (DEA) model annually estimates countries' resources and energy efficiency. In the second step, panel quantile regression used assess impacts of efficiency, export quality, other variables on ecological footprint. SBM–DEA revealed that Turkey Hunga...

Frontier techniques have been used to measure healthcare provider efficiency in hundreds of published studies. Although these methods have the potential to be useful to decision makers, their utility is limited by both methodological questions concerning their application. The aim of this paper is to examine the data envelopment analysis (DEA) and stochastic frontier analysis (SFA) results in o...

In this paper, differential evolution algorithm (DEA), one of the most promising Evolutionary Algorithm’s, was employed to tune a PID controller and to design a set-point filter for unstable and integrating processes with time delay. The proposed cost function used in DEA gives the shortest trajectory with minimum time in the phase plane. The results obtained from the proposed tuning method her...

A new method for enantioselective organocatalytic cyclopropanation is described. This study outlines the identification of a new class of iminium catalyst based on the concept of directed electrostatic activation (DEA). This novel organocatalytic mechanism exploits dual activation of ylide and enal substrates through a proposed electrostatic activation and stereodirected protocol. Formation of ...

DNA microarray technology has now made it possible to monitor the expression levels of thousands of genes simultaneously during important biological processes and across collections of related samples. Usually, gene expression matrix has several particular macroscopic phenotypes of samples. However, this matrix has few samples, and vast amounts of genes. This feature makes it difficult to class...