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Item Details
Title: EFFICIENCY ANALYSIS BY PRODUCTION FRONTIERS
THE NONPARAMETRIC APPROACH
By: Jati K. Sengupta
Format: Hardback

List price: £175.50


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ISBN 10: 0792300289
ISBN 13: 9780792300281
Publisher: SPRINGER
Pub. date: 15 December, 1988
Edition: 1989 ed.
Series: Theory and Decision Library B 12
Pages: 247
Synopsis: Measuring productive efficiency for nonprofit organizations has posed a great challenge to applied researchers today. The problem has many facets and diverse implications for a number of disciplines such as economics, applied statistics, management science and information theory. This monograph discusses four major areas, which emphasize the applied economic and econometric as. pects of the production frontier analysis: A. Stochastic frontier theory, B. Data envelopment analysis, C. Clustering and estimation theory, D. Economic and managerial applications Besides containing an up-to-date survey of the mos. t recent developments in the field, the monograph presents several new results and theorems from my own research. These include but are not limited to the following: (1) interface with parametric theory, (2) minimax and robust concepts of production frontier, (3) game-theoretic extension of the Farrell and Johansen models, (4) optimal clustering techniques for data envelopment analysis and (5) the dynamic and stochastic generalizations of the efficiency frontier at the micro and macro levels. In my research work in this field I have received great support and inspiration from Professor Abraham Charnes of the University of Texas at Austin, who has basically founded the technique of data envelopment analysis, developed it and is still expanding it. My interactions with him have been most fruitful and productive. I am deeply grateful to him. Finally, I must record my deep appreciation to my wife and two children for their loving and enduring support. But for their support this work would not have been completed.
Illustrations: X, 247 p.
Publication: Netherlands
Imprint: Springer
Returns: Returnable
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