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 LEADER 03081nam 22005895 450 001 9910298538803321 005 20200919152655.0 010 $a3-642-39380-2 024 7 $a10.1007/978-3-642-39380-8 035 $a(CKB)2550000001152724 035 $a(EBL)1538905 035 $a(OCoLC)876509367 035 $a(SSID)ssj0001049103 035 $a(PQKBManifestationID)11623071 035 $a(PQKBTitleCode)TC0001049103 035 $a(PQKBWorkID)11016627 035 $a(PQKB)11218011 035 $a(MiAaPQ)EBC1538905 035 $a(DE-He213)978-3-642-39380-8 035 $a(PPN)176113177 035 $a(EXLCZ)992550000001152724 100 $a20131018d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe Microeconomic Growth /$fby Meng Liang 205 $a1st ed. 2014. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014. 215 $a1 online resource (159 p.) 300 $aDescription based upon print version of record. 311 $a3-642-39379-9 320 $aIncludes bibliographical references and index. 327 $aKey Factors of Economic Growth -- Commodity, Utility Density, Quality and Labor -- Consumption and the Growth of Consumption -- Organization?protection and restriction -- Production Theory- Individuals and Manufacturers -- Analyze of Economic Growth. 330 $aThis book primarily discusses what could make the economy remain stable and increase the level of coordination, both on the demand and supply side, a fascinating question for economists. In this context, it systematically analyzes the theory of consumption and production growth. Most of the existing economic growth theories fail to analyze consumption growth. That oversight is remedied here, greatly enhancing the usefulness of economic growth theory. Factors influencing consumption and production at the micro scale provide the foundations of the analyzing frame. An economic system with endogenous technological progress can most likely only be rapidly coordinated under market conditions similar to those in a monopoly competition market. Over the course of the work, readers will discover that there is another way of viewing the economic world which is different from regular textbooks. 606 $aMicroeconomics 606 $aEconomics 606 $aMicroeconomics$3https://scigraph.springernature.com/ontologies/product-market-codes/W31000 606 $aEconomic Theory/Quantitative Economics/Mathematical Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/W29000 615 0$aMicroeconomics. 615 0$aEconomics. 615 14$aMicroeconomics. 615 24$aEconomic Theory/Quantitative Economics/Mathematical Methods. 676 $a330 676 $a330.1 676 $a338.5 700 $aLiang$b Meng$4aut$4http://id.loc.gov/vocabulary/relators/aut$01064386 906 $aBOOK 912 $a9910298538803321 996 $aThe Microeconomic Growth$92537766 997 $aUNINA