000 03568nam a22005415i 4500
001 978-3-319-14256-2
003 DE-He213
005 20200421112549.0
007 cr nn 008mamaa
008 150202s2015 gw | s |||| 0|eng d
020 _a9783319142562
_9978-3-319-14256-2
024 7 _a10.1007/978-3-319-14256-2
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aArtikis, Constantinos.
_eauthor.
245 1 0 _aProbability Distributions in Risk Management Operations
_h[electronic resource] /
_cby Constantinos Artikis, Panagiotis Artikis.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXIII, 317 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v83
505 0 _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.
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.
650 0 _aEngineering.
650 0 _aBusiness.
650 0 _aManagement science.
650 0 _aComputational intelligence.
650 0 _aQuality control.
650 0 _aReliability.
650 0 _aIndustrial safety.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aBusiness and Management, general.
650 2 4 _aQuality Control, Reliability, Safety and Risk.
700 1 _aArtikis, Panagiotis.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319142555
830 0 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v83
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-14256-2
912 _aZDB-2-ENG
942 _cEBK
999 _c58760
_d58760