evaluate the performance of companies on the stock exchange using non-parametric methods is very important. dea and dea-r with the strategies for piecewise linear frontier production function and use of available data, assess the stock company. in this study, using a neural network algorithm dea and dea-r is suggested to classify the first companies in the stock exchange; secondly, using the co...

Data envelopment analysis (DEA) is non-parametric linear programming (LP) based technique for estimating the relative efficiency of different decision making units (DMUs) assessing the homogeneous type of multiple-inputs and multiple-outputs. The procedure does not require a priori knowledge of weights, while the main concern of this non-parametric technique is to estimate the optimal weights o...

Twenty-one normal subjects, 32 bilateral parkinsonian patients (BPs) and 29 hemiparkinsonian patients (HP) were submitted to separate or sequentially associated motor tasks that included simple reaction times (RT), choice RTs, directional RTs, and movement RTs. The results showed that simple RTs, directional RTs, and movement times (MT) were slower in BPs as compared to normal subjects; for cho...

BACKGROUND MRI is frequently used in addition to clinical evaluation for predicting time to return to sport (RTS) after acute hamstring injury. However, the additional value of MRI to patient history taking and clinical examination remains unknown and is debated. AIM To prospectively investigate the predictive value of patient history and clinical examination at baseline alone and the additio...

Malmquist Productivity Index (MPI) is a numeric index that is of great importance in measuring productivity and its changes. In recent years, tools like DEA have been utilized for determining MPI. In the present paper, some models are recommended for calculating MPI when there are just ratio data available. Then, using DEA and DEA-R, some models are proposed under the constant returns to scale ...

Abstract This paper analyses the human right to science (RtS) in relation data (DS) and its applications, particularly, monetization. It advances an approach that balances three aspects of RtS, namely, protection from harmful science, benefit-sharing participation derives corresponding sets state duties. First, RtS implies duty end monetization so far as it entails practices rights, including u...

In this research, efficiency of Iranian forest and rangeland decision making unit was assessed using non-parametric method. Inputs and outputs determined by field research and with applying a Delphi method the final input and output variables selected. Forty five wood-producing units (forestry plans) in three northern Iranian province were studied using Data Envelopment Analysis. The efficiency...