in this paper, different input-oriented ratio-based dea (dea-r-i) models are proposed. by presenting the envelopment-additive-enhanced russell model based on the dea-r-i form, each decision making unit is evaluated and its efficiency score is calculated. also, by presenting the central resource allocation model based on the dea-r-i form, a suitable benchmark for all dmus is proposed by solving ...

‎in this paper, we present a two-stage model for ranking of decision making units (dmus) using interval analytic hierarchy process (ahp). since the efficiency score of unity is assigned to the efficient units, we evaluate the efficiency of each dmu by basic dea models and calculate the weights of the criteria using proposed model. in the first stage, the proposed model evaluates decision making...

BACKGROUND In order to measure and analyse the technical efficiency of district hospitals in Ghana, the specific objectives of this study were to (a) estimate the relative technical and scale efficiency of government, mission, private and quasi-government district hospitals in Ghana in 2005; (b) estimate the magnitudes of output increases and/or input reductions that would have been required to...

Data envelopment analysis (DEA) is a mathematical programming method for calculatingefficiency of decision making units (DMU). In calculating the efficiency score of unitsthrough DEA we may come up with some efficient units. But the question is among theseefficient units which of them is better. As we know, it is possible to rank inefficient unitsthrough efficiency score; however, for ranking e...

Using a pretest and posttest comparison group design, this 20 weeks study investigated the effects of a phonological awareness training program (PATP) on attention efficiency (AE) in 57 children (age = 5 to 6 years) at risk. The experimental group received the PATP (EG; n=30). We obtained pretest and posttest measures of phonological awareness and AE. The ANOVA showed significant interaction ef...

Here, we examine the capability of artificial neural networks (ANNs) in sensitivity analysis of the parameters of efficiency analysis model, namely data envelopment analysis (DEA). We are mainly interested to observe the required change of a group of parameters when another group goes under a managerial change, maintaining the score of the efficiency. In other words, this methodology provides a...

We consider the problem of attrition under a logistic regression model for longitudinal binary data in which each subject has his own intercept parameter, and where parameters are eliminated via conditional logistic regression. This is a fixed-effects, subject-specific model which exploits the longitudinal data by allowing subjects to act as their own controls. By modeling and conditioning on t...

We consider the problem of attrition under a logistic regression model for longitudinal binary data in which each subject has his own intercept parameter, and those parameters are eliminated via conditional logistic regression. This is a fixed-effects, subject-specific model which exploits the longitudinal data by allowing subjects to act as their own controls. By modeling and conditioning on t...

In the field of bioinformatics, selection of genes in multiclass sample classification can be done by filtering methods using microarray data. Such approaches usually contribute to bias towards a few classes that are easily recognizable from other classes due to imbalances of strong features and sample sizes of distinct classes in a microarray data. Many methods have been used for the filter me...