LEADER 04433nam 22007455 450 001 9910299679803321 005 20200702114744.0 010 $a3-319-14256-9 024 7 $a10.1007/978-3-319-14256-2 035 $a(CKB)3710000000355363 035 $a(EBL)1963417 035 $a(SSID)ssj0001452114 035 $a(PQKBManifestationID)11952146 035 $a(PQKBTitleCode)TC0001452114 035 $a(PQKBWorkID)11479657 035 $a(PQKB)10862389 035 $a(DE-He213)978-3-319-14256-2 035 $a(MiAaPQ)EBC1963417 035 $a(PPN)184499119 035 $a(EXLCZ)993710000000355363 100 $a20150202d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aProbability Distributions in Risk Management Operations /$fby Constantinos Artikis, Panagiotis Artikis 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (329 p.) 225 1 $aIntelligent Systems Reference Library,$x1868-4394 ;$v83 300 $aDescription based upon print version of record. 311 $a3-319-14255-0 320 $aIncludes bibliographical references. 327 $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. 330 $aThis book is about the formulations, theoretical investigations, and practical applications of new stochastic models for fundamental concepts and operations of the discipline of risk management. It also examines how these models can be useful in the descriptions, measurements, evaluations, and treatments of risks threatening various modern organizations. Moreover, the book makes clear that such stochastic models constitute very strong analytical tools which substantially facilitate strategic thinking and strategic decision making in many significant areas of risk management. In particular the incorporation of fundamental probabilistic concepts such as the sum, minimum, and maximum of a random number of continuous, positive, independent, and identically distributed random variables in the mathematical structure of stochastic models significantly supports the suitability of these models in the developments, investigations, selections, and implementations of proactive and reactive risk management operations. The book makes extensive use of integral and differential equations of characteristic functions, mainly corresponding to important classes of mixtures of probability distributions, as powerful analytical tools for investigating the behavior of new stochastic models suitable for the descriptions and implementations of fundamental risk control and risk financing operations. These risk treatment operations very often arise in a wide variety of scientific disciplines of extreme practical importance. 410 0$aIntelligent Systems Reference Library,$x1868-4394 ;$v83 606 $aComputational intelligence 606 $aBusiness 606 $aManagement science 606 $aQuality control 606 $aReliability 606 $aIndustrial safety 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aBusiness and Management, general$3https://scigraph.springernature.com/ontologies/product-market-codes/500000 606 $aQuality Control, Reliability, Safety and Risk$3https://scigraph.springernature.com/ontologies/product-market-codes/T22032 615 0$aComputational intelligence. 615 0$aBusiness. 615 0$aManagement science. 615 0$aQuality control. 615 0$aReliability. 615 0$aIndustrial safety. 615 14$aComputational Intelligence. 615 24$aBusiness and Management, general. 615 24$aQuality Control, Reliability, Safety and Risk. 676 $a006.3 676 $a620 676 $a650 676 $a658.56 700 $aArtikis$b Constantinos$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720589 702 $aArtikis$b Panagiotis$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299679803321 996 $aProbability Distributions in Risk Management Operations$92520937 997 $aUNINA