Titlebook: Data Envelopment Analysis; A Handbook of Models Joe Zhu Book 2015 Springer Science+Business Media New York 2015 DEA.DEA Models.Data Envelop

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Andrew Whelton,Til Sturmer,George A. PorterThis chapter extends the conventional DEA methodology to allow for the measurement of technical efficiency in situations where only partial input-to-output impacts exist. The new methodology involves viewing the DMU as a business unit, consisting of a set of mutually exclusive subunits, each of which can be treated in the conventional DEA sense.

antecedence

Jennifer L. Joscelyn MS,Lloyd Kasperts, indicating whether individual observations are located in favourable positions in the production space based on the extent of frontier shifts they observe. The various approaches are illustrated in an empirical case of Ghanaian banks.

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Hyperalgesia

Frontier Differences and the Global Malmquist Index,ts, indicating whether individual observations are located in favourable positions in the production space based on the extent of frontier shifts they observe. The various approaches are illustrated in an empirical case of Ghanaian banks.

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Book 2015A theory, it includes a collection of chapters that represent the current state-of-the-art in DEA research. Topics include distance functions and their value duals, cross-efficiency measures in DEA, integer DEA, weight restrictions and production trade-offs, facet analysis in DEA, scale elasticity,

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Basilar-Artery

DEA Cross Efficiency,EA has been proven an effective approach in identifying the best practice frontiers, its flexibility in weighting multiple inputs and outputs and its nature of self-evaluation have been criticized. The cross efficiency method was developed as a DEA extension to rank DMUs with the main idea being to