in this current study a generalized super-efficiency model is first proposed for ranking extreme efficient decision making units (dmus) in stochastic data envelopment analysis (dea) and then, a deterministic (crisp) equivalent form of the stochastic generalized super-efficiency model is presented. it is shown that this deterministic model can be converted to a quadratic programming model. so fa...

This paper aims to assess the environmental efficiency of refineries in the public sector with emphasis on generated effluents and water consumption in the production process. In order to conduct this research, the addressed method was quantitative with a qualitative approach to the environmental aspects of controllable and uncontrollable variables imp...

Abstract We introduce methods to apply stochastic frontier analysis (SFA) financial assets as an alternative data envelopment analysis, because SFA allows us fit a with noisy data. In contrast conventional SFA, we wish deal estimation risk, heteroscedasticity in noise and inefficiency terms. investigate measurement error the risk return measures using simulation–extrapolation method develop res...

While it is widely believed that advertising media spending may not be optimal or efficient, it is not easy to measure the inefficiency, or the potential loss of sales due to inefficient ad spending. Advertising media spending efficiency needs to be measured and benchmarked. Here two approaches are presented and compared to evaluate top 100 advertisers’ media spending inefficiency. The two meth...

The efficiency of social housing providers is a contentious issue. In the Netherlands, there is a widespread belief that housing corporations have substantial potential for efficiency improvements. A related question is whether scale influences efficiency, since recent decades have shown a trend of mergers among corporations. This paper offers a framework to assess the effects of scale and merg...

  Data envelopment analysis (DEA) is a nonparametric approach to evaluate theefficiency of decision making units (DMU) using mathematical programmingtechniques. Almost, all of the previous researches in stochastic DEA have been usedthe stochastic data when the inputs and outputs are normally distributed. But, thisassumption may not be true in practice. Therefore, using a normal distribution wi...

Since the Labour government came to power in 1997, it has introduced a regime whereby public services are accountable in respect of best value performance indicators (BVPIs). A recent Public Services Productivity Panel (PSP) (2000) report has developed a set of criteria whereby the economic analysis of police force efficiency by the Home Office is to be made standard. In this paper we utilise a...

data envelopment analysis (dea) is a technique that uses all collected observations to measure performance. this method presents no data about how to operate on dmu. the present research attempted to study a unit with all its subunits, if the unit is efficient, it means that all its subunits are efficient too and if it is an inefficient, it shows clearly that which one of the subunits makes ine...

The stochastic data envelopment analysis (SDEA) was developed considering the value ofinputs and outputs as random variables. Therefore, statistical distributions play an importantrole in this regard. The skew-normal (SN) distribution is a family of probability densityfunctions that is frequently used in practical situations. In this paper, we assume that the inputand output variables are skew-...