LEADER 03838nam 22006375 450 001 996418187003316 005 20200701231907.0 010 $a3-030-35176-9 024 7 $a10.1007/978-3-030-35176-2 035 $a(CKB)4920000000496074 035 $a(DE-He213)978-3-030-35176-2 035 $a(MiAaPQ)EBC6178539 035 $a(PPN)243762496 035 $a(EXLCZ)994920000000496074 100 $a20200417d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRisk and Insurance$b[electronic resource] $eA Graduate Text /$fby Søren Asmussen, Mogens Steffensen 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XV, 505 p. 42 illus., 32 illus. in color.) 225 1 $aProbability Theory and Stochastic Modelling,$x2199-3130 ;$v96 311 $a3-030-35175-0 320 $aIncludes bibliographical references and index. 327 $aBasics -- Experience Rating -- Sums and Aggregate Claims -- Ruin Theory -- Markov Models in Life Insurance -- Financial Mathematics in Life Insurance -- Special Studies in Life Insurance -- Orderings and Comparisons -- Extreme Value Theory -- Dependence and Further Topics in Risk Management -- Stochastic Control in Non-Life Insurance -- Stochastic Control in Life Insurance -- Selected Further Topics. 330 $aThis textbook provides a broad overview of the present state of insurance mathematics and some related topics in risk management, financial mathematics and probability. Both non-life and life aspects are covered. The emphasis is on probability and modeling rather than statistics and practical implementation. Aimed at the graduate level, pointing in part to current research topics, it can potentially replace other textbooks on basic non-life insurance mathematics and advanced risk management methods in non-life insurance. Based on chapters selected according to the particular topics in mind, the book may serve as a source for introductory courses to insurance mathematics for non-specialists, advanced courses for actuarial students, or courses on probabilistic aspects of risk. It will also be useful for practitioners and students/researchers in related areas such as finance and statistics who wish to get an overview of the general area of mathematical modeling and analysis in insurance. 410 0$aProbability Theory and Stochastic Modelling,$x2199-3130 ;$v96 606 $aProbabilities 606 $aEconomics, Mathematical  606 $aRisk management 606 $aActuarial science 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 606 $aQuantitative Finance$3https://scigraph.springernature.com/ontologies/product-market-codes/M13062 606 $aRisk Management$3https://scigraph.springernature.com/ontologies/product-market-codes/612040 606 $aActuarial Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M13080 615 0$aProbabilities. 615 0$aEconomics, Mathematical . 615 0$aRisk management. 615 0$aActuarial science. 615 14$aProbability Theory and Stochastic Processes. 615 24$aQuantitative Finance. 615 24$aRisk Management. 615 24$aActuarial Sciences. 676 $a368.01 700 $aAsmussen$b Søren$4aut$4http://id.loc.gov/vocabulary/relators/aut$0381160 702 $aSteffensen$b Mogens$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996418187003316 996 $aRisk and Insurance$92368797 997 $aUNISA