Advances In Data Envelopment Analysis (world Scientific-now Publishers Series In Business - Volume 8)
by Shawna Grosskopf /
2015 / English / PDF
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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.
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
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).
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).
Readership: Advanced postgraduate students and researchers in
operations research and economics with a particular interest in
production theory and operations management.
Readership: Advanced postgraduate students and researchers in
operations research and economics with a particular interest in
production theory and operations management.
