| 期刊全稱 | Benchmarking with DEA, SFA, and R | | 影響因子2023 | Peter Bogetoft,Lars Otto | | 視頻video | http://file.papertrans.cn/184/183387/183387.mp4 | | 發(fā)行地址 | Covers recent advances in Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods.Authors developed the R package called Benchmarking, which implements the main methods within b | | 學(xué)科分類 | International Series in Operations Research & Management Science | | 圖書封面 |  | | 影響因子 | .This book covers recent advances in efficiency evaluations, most notably Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods. ?It introduces the underlying theories, shows how to make the relevant calculations and discusses applications. The aim is to make the reader aware of the pros and cons of the different methods and to show how to use these methods in both standard and non-standard cases..Several software packages have been developed to solve some of the most common DEA and SFA models. This book relies on R, a free, open source software environment for statistical computing and graphics. This enables the reader to solve not only standard problems, but also many other problem variants. Using R, one can focus on understanding the context and developing a good model. One is not restricted to predefined model variants and to a one-size-fits-all approach. To facilitate the use of R, the authors have developed an R package called Benchmarking, which implements the main methods within both DEA and SFA..The book uses mathematical formulations of models and assumptions, but it de-emphasizes the formal proofs - in part by placing them in appendices -- or by | | Pindex | Book 2011 |
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