Non-Parametric approach: Data Envelopment Analysis (DEA)… 29
A fuzzy data envelopment analysis approach based on parametric programming
... outputs data, and a small swing in units data will have a great influence on the DEA ...deterministic data and no deviation in data were ...
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Non-Parametric Approach towards Smallholders Rubber Production Efficiency: A Two-Stage Data Envelopment Analysis (DEA)
... [26]. 4. CONCLUSION The results of the data envelopment analysis (DEA) which showed that the mean technical efficiency estimate is 0.80 prove that the sampled rubber farms are not technically ...
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Do Hospitals Affiliated With the Kurdistan University of Medical Sciences Perform Efficiently? Non-parametric Data Envelopment Analysis
... or non-efficiency of a ...this approach is that, as the number of input and output variables increases, the number of efficient units increases as ...
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Data Envelopment Analysis Models in Non-Homogeneous Environment
... the analysis of efficiency using DEA models in the non-homogeneous ...in non-homogeneous ...of non-homogeneity are discussed as an excellent possible starting point for future ...
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An Approach to Identify and Evaluate Congestion in Data Envelopment Analysis
... Received August, 13, 2016, Accepted April, 23, 2017. Abstract Congestion indicates an economic state where inputs are overly invested. Evidence of congestion occurs whenever reducing some inputs can increase outputs. In ...
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Benchmarking and Data Envelopment Analysis. An Approach based on Metaheuristics
... Four different methods to generate the initial population of solutions were used and tested by means of some simulated experiments. The third method, based on three algorithms to yield the suitable parameters of the ...
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Data Envelopment Analysis
... the data envelopment analysis model applying for 25 property and casualty insurance companies, the team was able to research and thus have a deeper understanding of the DEA model, applying linear ...
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Data Envelopment Analysis
... An average economist feels uncomfortable with shadow prices that become zero at the slightest perturbation of the parameters. Finally, and most important of all, being nonstatistical in nature, the LP solution of a DEA ...
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data envelopment analysis
... Considering the characteristic of internet-only-banks, we are using intermediation and operating approaches to measure the bank's efficiency. From the different views of the bank's primary function, they are using ...
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Stochastic non-smooth envelopment of data : semi-parametric frontier estimation subject to shape constraints
... While the StoNED approach combines the appealing fea- tures of DEA and SFA, it also shares many of their limi- tations. Similar to DEA, the nonparametric orientation of StoNED can make it vulnerable to the curse ...
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Data envelopment analysis of clinics with sparse data: fuzzy clustering approach
... DEA is a linear programming model, which measures the relative technical efficiency of decision making units by calculating the ratio of weighted sum of its outputs to its inputs (Charnes et al., 1978). Decision Making ...
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Non-discretionary Factors in Data Envelopment Analysis: Review and Extension
... Introduction Data Envelopment Analysis (DEA), initially introduced by Charnes et ...known non-parametric methodology for computing the relative efficiency of a set of homogeneous units, ...
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A method to consider Non-Discretionary factors in Data Envelopment Analysis
... as Data Envelopment Analysis (DEA) has been developed to use non- discretionary inputs that affect ...new approach is developed that overcomes existing weaknesses and it is based on ...
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A Common Weight Data Envelopment Analysis Approach for Material Selection
... using the normalization methods introduced previously. For instance, the normalized data for the flywheel problem using Norm No.1 formulation is as Table 5.The model for each alternative is provided and solved by ...
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A Bayesian approach for correcting bias of data envelopment analysis estimators
... The new method draws on Chen and Liang (2011)’s super -efficiency model. However, other super-efficiency models that tackle the infeasibility problem could be used instead. The new Bayesian DEA method is appropriate for ...
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On model selection in data envelopment analysis: a multivariate statistical approach
... A transparent method for input/output selection in DEA was suggested by Serrano Cinca and Mar Molinero (2001), we will refer to this method as SM. This method is not sequential in the sense that efficiencies are ...
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Measuring Hospital’s units Efficiency: A Data Envelopment Analysis Approach
... ratio analysis and regression analysis, they found that the result provide some interesting insights into the relative strengths and weaknesses and they concluded that the ratio analysis and ...
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Assessment of Irrigation Pricing Policies: A Data Envelopment Analysis Approach
... This approach represents a contribution to the literature since at present, most studies concerning water productive efficiency follows an agronomic approach (yield per drop) or an engineering ...
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A Bayesian approach for correcting bias of data envelopment analysis estimators
... medium data sets where dependence among the estimators below and above one is ...empirical analysis presented in this study was based on two real-world data sets of 50 and 100 firms coming from the ...
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Data Envelopment Analysis Models In The Presence Of Ratio Data and Non-Discretionary Factors
... 5. Conclusions DEA is usually undertaken with absolute data, but there are some cases reported that the researchers use ratio data. This paper suggested that the Banker and Morey models be extended to ...
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