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000725483 020__ $$a9783319142562$$qelectronic book
000725483 020__ $$a3319142569$$qelectronic book
000725483 020__ $$z9783319142555
000725483 0247_ $$a10.1007/978-3-319-14256-2$$2doi
000725483 035__ $$aSP(OCoLC)ocn902724625
000725483 035__ $$aSP(OCoLC)902724625
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000725483 049__ $$aISEA
000725483 050_4 $$aHD61
000725483 08204 $$a658.155/0151$$223
000725483 1001_ $$aArtikis, Constantinos,$$eauthor.
000725483 24510 $$aProbability distributions in risk management operations$$h[electronic resource] /$$cConstantinos Artikis, Panagiotis Artikis.
000725483 264_1 $$aCham :$$bSpringer,$$c[2015]
000725483 264_4 $$c©2015
000725483 300__ $$a1 online resource.
000725483 336__ $$atext$$btxt$$2rdacontent
000725483 337__ $$acomputer$$bc$$2rdamedia
000725483 338__ $$aonline resource$$bcr$$2rdacarrier
000725483 4901_ $$aIntelligent systems reference library ;$$vvolume 83
000725483 504__ $$aIncludes bibliographical references.
000725483 5050_ $$aFundamental Concepts of Risk Management -- Stochastic Models of Risk Management Concepts -- Stochastic Models of Risk Management Operations -- Stochastic Discounting Modeling for Concepts and Orerations of Risk Management.
000725483 506__ $$aAccess limited to authorized users.
000725483 520__ $$aThis book is about the formulations, theoretical investigations, and practical applications of new stochastic models for fundamental concepts and operations of the discipline of risk management. It also examines how these models can be useful in the descriptions, measurements, evaluations, and treatments of risks threatening various modern organizations. Moreover, the book makes clear that such stochastic models constitute very strong analytical tools which substantially facilitate strategic thinking and strategic decision making in many significant areas of risk management. In particular the incorporation of fundamental probabilistic concepts such as the sum, minimum, and maximum of a random number of continuous, positive, independent, and identically distributed random variables in the mathematical structure of stochastic models significantly supports the suitability of these models in the developments, investigations, selections, and implementations of proactive and reactive risk management operations. The book makes extensive use of integral and differential equations of characteristic functions, mainly corresponding to important classes of mixtures of probability distributions, as powerful analytical tools for investigating the behavior of new stochastic models suitable for the descriptions and implementations of fundamental risk control and risk financing operations. These risk treatment operations very often arise in a wide variety of scientific disciplines of extreme practical importance.
000725483 588__ $$aDescription based on online resource; title from PDF title page (viewed February 9, 2015).
000725483 650_0 $$aRisk management$$xMathematical models.
000725483 650_0 $$aProbabilities.
000725483 7001_ $$aArtikis, Panagiotis,$$eauthor.
000725483 77608 $$iPrint version:$$z9783319142555
000725483 830_0 $$aIntelligent systems reference library ;$$vv. 83.
000725483 852__ $$bebk
000725483 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-14256-2$$zOnline Access$$91397441.1
000725483 909CO $$ooai:library.usi.edu:725483$$pGLOBAL_SET
000725483 980__ $$aEBOOK
000725483 980__ $$aBIB
000725483 982__ $$aEbook
000725483 983__ $$aOnline
000725483 994__ $$a92$$bISE