Advances in data envelopment analysis:

"Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with technology which, in turn, is important in identifying technical change, or finding which types of DEA models allow data transformations, including dealing...

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Bibliographic Details
Main Author: Färe, Rolf 1942- (Author)
Format: Electronic eBook
Language:Undetermined
Published: Singapore World Scientific Publishing Co. Pte Ltd. c2015
Series:World Scientific-Now Publishers series in business v. 8
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Online Access:FHN01
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Summary:"Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with technology which, in turn, is important in identifying technical change, or finding which types of DEA models allow data transformations, including dealing with ordinal data. Advances in Data Envelopment Analysis focuses on both theoretical developments and their applications into the measurement of productive efficiency and productivity growth, such as its application to the modelling of time substitution, i.e. the problem of how to allocate resources over time, and estimating the "value" of a Decision Making Unit (DMU)"--
Item Description:Title from PDF title page (viewed April 9, 2015)
Physical Description:1 online resource (xii, 99 p.) ill
ISBN:9789814644556
9814644552

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