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001			285457
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008			150903s2011 xxu| o |||| 0|eng d
020			_a9781441979612 _99781441979612
024	7		_a10.1007/9781441979612 _2doi
035			_avtls000339114
039		9	_a201509030312 _bVLOAD _c201404300355 _dVLOAD _y201402060927 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aHD30.23
100	1		_aBogetoft, Peter. _eautor _9313657
245	1	0	_aBenchmarking with DEA, SFA, and R / _cby Peter Bogetoft, Lars Otto.
264		1	_aNew York, NY : _bSpringer New York, _c2011.
300			_axvI, 352 páginas _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aInternational Series in Operations Research & Management Science, _x0884-8289 ; _v157
500			_aSpringer eBooks
505	0		_a1. Introduction to Benchmarking -- 2. Efficiency Measures -- 3. Production Models and Technology -- 4. Data Envelopment Analysis DEA -- 5. Additional Topics in DEA -- 6. Statistical Analysis in DEA -- 7. Stochastic Frontier Analysis SFA -- 8. Additional Topics in SFA -- 9. Merger Analysis -- 10. Regulation and Contracting -- Appendix. Getting Started with R: A Quick Introduction.
520			_aThis 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 referring to the original sources. Moreover, the book emphasizes the usage of the theories and the interpretations of the mathematical formulations.  It includes a series of small examples, graphical illustrations, simple extensions and questions to think about. Also, it combines the formal models with less formal economic and organizational thinking. Last but not least it discusses some larger applications with significant practical impacts, including the design of benchmarking-based regulations of energy companies in different European countries, and the development of merger control programs for competition authorities.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aOtto, Lars. _eautor _9313658
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781441979605
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4419-7961-2 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c285457 _d285457