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Titlebook: Data Envelopment Analysis; A Handbook of Modeli Wade D. Cook,Joe Zhu Book 2014 Springer Science+Business Media New York 2014 Additive Decom

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Prediction of Shallow Gas from Seismic Datathe frontier projection for inefficient DMUs while the multiplier-based network DEA model should be used for determining the divisional efficiency. Finally, we demonstrate that under general network structures, the multiplier and envelopment network DEA models are two different approaches. The divis
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An Overview of HIT-Related Errors,the maximal production of final outputs. Therefore, it is necessary that not only the intermediate products are explicitly modeled, but also their optimal values are considered in the construction of sub-technologies’ frontiers so that the issue of allocative efficiency, if exists, can be addressed.
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Jacob O. Levitt,Joseph F. Sobankoe largest equiproportionate reduction in the classical efficiencies; the one that achieves the largest equal reduction in efficiency; and the one that maximizes the radial contraction in the aggregate consumption of resources originally employed before integration. We show how each choice for the Pa
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Network DEA Pitfalls: Divisional Efficiency and Frontier Projection,the frontier projection for inefficient DMUs while the multiplier-based network DEA model should be used for determining the divisional efficiency. Finally, we demonstrate that under general network structures, the multiplier and envelopment network DEA models are two different approaches. The divis
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Decomposing Efficiency and Returns to Scale in Two-Stage Network Systems,the maximal production of final outputs. Therefore, it is necessary that not only the intermediate products are explicitly modeled, but also their optimal values are considered in the construction of sub-technologies’ frontiers so that the issue of allocative efficiency, if exists, can be addressed.
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Prediction of Shallow Gas from Seismic Datan recent years has been that devoted to applications wherein DMUs represent network processes. One particular subset of such processes is those in which all the outputs from the first stage become inputs to the second stage. We call these types of DMU structures “two-stage networks”. Existing approa
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