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005 20181204132645.0
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008 100301s2007 xxu| s |||| 0|eng d
020 _a9780387346755
_9978-0-387-34675-5
024 7 _a10.1007/978-0-387-34675-5
_2doi
040 _aISI Library, Kolkata
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
072 7 _aPBT
_2thema
082 0 4 _a519.5
_223
245 1 0 _aStochastic Orders
_h[electronic resource] /
_cedited by Moshe Shaked, J. George Shanthikumar.
264 1 _aNew York, NY :
_bSpringer New York,
_c2007.
300 _aXVI, 474 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_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 _aMathematical statistics.
650 1 4 _aStatistical Theory and Methods.
_0http://scigraph.springernature.com/things/product-market-codes/S11001
700 1 _aShaked, Moshe.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aShanthikumar, J. George.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387512730
776 0 8 _iPrinted edition:
_z9781441921956
776 0 8 _iPrinted edition:
_z9780387329154
830 0 _aSpringer Series in Statistics,
_x0172-7397
856 4 0 _uhttps://doi.org/10.1007/978-0-387-34675-5
912 _aZDB-2-SMA
942 _cEB
950 _aMathematics and Statistics (Springer-11649)
999 _c425564
_d425564