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Titlebook: Estimating Output-Specific Efficiencies; Dieter Gstach Book 2002 Springer Science+Business Media Dordrecht 2002 Markov Chain.Monte Carlo S

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发表于 2025-3-21 17:56:05 | 显示全部楼层 |阅读模式
书目名称Estimating Output-Specific Efficiencies
编辑Dieter Gstach
视频video
丛书名称Applied Optimization
图书封面Titlebook: Estimating Output-Specific Efficiencies;  Dieter Gstach Book 2002 Springer Science+Business Media Dordrecht 2002 Markov Chain.Monte Carlo S
描述The present book is the offspring of my Habilitation, which is the key to academic tenure in Austria. Legal requirements demand that a Ha­ bilitation be published and so only seeing it in print marks the real end of this biographical landmark project. From a scientific perspective I may hope to finally reach a broader audience with this book for a criti­ cal appraisal of the research done. Aside from objectives the book is a reflection of many years of research preceding Habilitation proper in the field of efficiency measurement. Regarding the subject matter the main intention was to fill an important remaining gap in the efficiency analysis literature. Hitherto no technique was available to estimate output-specific efficiencies in a statistically convincing way. This book closes this gap, although some desirable improvements and generalizations of the proposed estimation technique may yet be required, before it will eventually establish as standard tool for efficiency analysis. The likely audience for this book includes professional researchers, who want to enrich their tool set for applied efficiency analysis, as well as students of economics, management science or operations res
出版日期Book 2002
关键词Markov Chain; Monte Carlo Simulation; calculus; simulation
版次1
doihttps://doi.org/10.1007/978-1-4615-0007-0
isbn_softcover978-1-4613-4883-2
isbn_ebook978-1-4615-0007-0Series ISSN 1384-6485
issn_series 1384-6485
copyrightSpringer Science+Business Media Dordrecht 2002
The information of publication is updating

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发表于 2025-3-21 23:36:34 | 显示全部楼层
Technology Estimationcture will be picked as appropriate for output-specific efficiency estimation. This will be followed by a formal description of how DEA may be utilized for a technology representation based on inputs and output-ratios (rather than outputs themselves) based on a fixed set of Farrell-efficient points,
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Deriving Posterior Distributionsresentation of ..(..,..) is missing. This is exactly the case with a DEA estimated frontier. So parameter estimation based on analytical evaluation of this likelihood in applied work (with unknown frontier) is impossible.
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Concluding Remarksing estimators for a variety of settings and a first application highlighting the potential of this approach to reveal differences which otherwise would remain undetected. The presented approach should be considered as an extension of Data Envelopment Analysis (DEA), a widely used and thoroughly inv
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