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Titlebook: Efficiency Analysis by Production Frontiers; The Nonparametric Ap Jati K. Sengupta Book 1989 Kluwer Academic Publishers 1989 Data Envelopme

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發(fā)表于 2025-3-21 16:37:09 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Efficiency Analysis by Production Frontiers
副標題The Nonparametric Ap
編輯Jati K. Sengupta
視頻videohttp://file.papertrans.cn/303/302927/302927.mp4
叢書名稱Theory and Decision Library B
圖書封面Titlebook: Efficiency Analysis by Production Frontiers; The Nonparametric Ap Jati K. Sengupta Book 1989 Kluwer Academic Publishers 1989 Data Envelopme
描述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 Pro
出版日期Book 1989
關鍵詞Data Envelopment Analysis; Stochastic Programming; calculus; data envelopment; econometrics; information
版次1
doihttps://doi.org/10.1007/978-94-009-2645-5
isbn_softcover978-94-010-7694-4
isbn_ebook978-94-009-2645-5
copyrightKluwer Academic Publishers 1989
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發(fā)表于 2025-3-21 20:35:17 | 只看該作者
Implications of Nonparametric Theory,as in game theory; sometimes this may be due to their subjective reactions to a given uncertainty of the environment. The second aspect is concerned with its interface with information theory. Since the latter is basically an empirical databased approach it is quite natural that it would have some i
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Extensions of Nonparametric Approach,nomic theory of efficiency has sought to characterize efficiency in terms of certain implicit prices associated with certain subsets of the feasible production set. In case of single output and multiple inputs the inefficiency of a set of micro units may simply be measured as a deviation from the fu
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Applications of Nonparametric Theory,ch areas where more applied work is forthcoming. Finally, the DEA approach through its emphasis on the data structure and their heterogeneity has opened up the broader question: how to integrate other data-based techniques with the nonparametric theory of the DEA model? We have already discussed in
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Book 1989on 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 Pro
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ic 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 Pro978-94-010-7694-4978-94-009-2645-5
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