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020 _a9783319142562
024 7 _a10.1007/978-3-319-14256-2
_2doi
040 _bspa
_dES-MaUEC
050 4 _aHD61
_b.A785 2015 EB
100 1 _aArtikis, Constantinos.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/no2015120488
_1http://viaf.org/viaf/316803228/
245 1 0 _aProbability Distributions in Risk Management Operations
_cby Constantinos Artikis, Panagiotis Artikis.
264 1 _aCham
_bSpringer International Publishing
_c2015
300 _a1 recurso en línea (XIII, 317 páginas)
336 _2rdacontent
_aTexto (visual)
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
490 0 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v83
490 0 _aEngineering (Springer-11647)
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 3 _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.
988 _aEBSPRINGER_2018
650 7 _2embne
_aGestión del riesgo
_9157986
650 7 _2embne
_aProbabilidades
_9405075
700 1 _aArtikis, Panagiotis.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/no2015120658
_1http://viaf.org/viaf/316803229/
776 0 8 _iEdición impresa:
_z9783319142579
776 0 8 _iEdición impresa:
_z9783319142555
776 0 8 _iEdición impresa:
_z9783319362021
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-14256-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2019
_dz
_ejf
_zSI