000			03339nam a22004215i 4500
001			978-0-387-34675-5
003			DE-He213
005			20250710083954.0
007			cr nn 008mamaa
008			100301s2007 xxu| s |||| 0|eng d
020			_a9780387346755 _a99780387346755
024	7		_a10.1007/978-0-387-34675-5 _2doi
082	0	4	_a519.5 _223
100	1		_aShaked, Moshe. _eeditor.
245	1	0	_aStochastic Orders _h[recurso electrónico] / _cedited by Moshe Shaked, J. George Shanthikumar.
264		1	_aNew York, NY : _bSpringer New York, _c2007.
300			_aXV, 473 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Series in Statistics, _x0172-7397
505	0		_aUnivariate Stochastic Orders -- Mean Residual Life Orders -- Univariate Variability Orders -- Univariate Monotone Convex and Related Orders -- The Laplace Transform and Related Orders -- Multivariate Stochastic Orders -- Multivariate Variability and Related Orders -- Stochastic Convexity and Concavity -- Positive Dependence Orders.
520			_aStochastic ordering is a fundamental guide for decision making under uncertainty. It is also an essential tool in the study of structural properties of complex stochastic systems. This reference text presents a comprehensive coverage of the various notions of stochastic orderings, their closure properties, and their applications. Some of these orderings are routinely used in many applications in economics, finance, insurance, management science, operations research, statistics, and various other fields of study. And the value of the other notions of stochastic orderings still needs to be explored further. This book is an ideal reference for anyone interested in decision making under uncertainty and interested in the analysis of complex stochastic systems. It is suitable as a text for advanced graduate course on stochastic ordering and applications. Moshe Shaked is Professor of Mathematics at the University of Arizona, Tucson, AZ. He has made several fundamental contributions to the development of stochastic ordering and stochastic convexity, with applications in reliability theory and economics. He has published over 150 papers in this and related areas. J. George Shanthikumar is Professor of Industrial Engineering and Operations Research at the University of California, Berkeley, CA. He has made fundamental contributions to the application of stochastic ordering and stochastic convexity to queueing and related problems that arise in operations research and management science. He has published over 250 papers in this and related fields.
650		0	_aSTATISTICS.
650		0	_aMATHEMATICAL STATISTICS.
650	1	4	_aSTATISTICS.
650	2	4	_aSTATISTICAL THEORY AND METHODS.
700	1		_aShanthikumar, J. George. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387329154
830		0	_aSpringer Series in Statistics, _x0172-7397
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-34675-5 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SMA
942			_2ddc _cER
999			_c57398 _d57398