Advances in Data Envelopment Analysis
Rolf Fare, Shawna Grosskopf, Dimitris Margaritis
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).
Readership: Advanced postgraduate students and researchers in operations research and economics with a particular interest in production theory and operations management.
년:
2015
출판사:
World Scientific
언어:
english
페이지:
112
ISBN 10:
9814644544
ISBN 13:
9789814644549
시리즈:
World Scientific-Now Publishers Series in Business 8
파일:
PDF, 836 KB
IPFS:
,
english, 2015