LEADER 02073nam 2200505 450 001 9910824192903321 005 20200520144314.0 010 $a1-119-38888-0 010 $a1-119-38886-4 035 $a(CKB)3710000001053459 035 $a(Au-PeEL)EBL4816215 035 $a(CaPaEBR)ebr11355531 035 $a(CaONFJC)MIL992667 035 $a(OCoLC)972677190 035 $a(MiAaPQ)EBC4816215 035 $a(EXLCZ)993710000001053459 100 $a20170315h20172017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStochastic risk analysis and management /$fBoris Harlamov 210 1$aLondon, England ;$aHoboken, New Jersey :$cISTE :$cWiley,$d2017. 210 4$d2017 215 $a1 online resource (169 pages) $cillustrations, graphs 225 0 $aStochastic Models in Survival Analysis and Reliability Set ;$vVolume 2 311 1 $a1-78630-008-7 311 1 $a1-119-38887-2 320 $aIncludes bibliographical references and index. 327 $aChapter 1. Mathematical Bases -- Chapter 2. Cramér-Lundberg Model -- Chapter 3. Models With the Premium Dependent on the Capital -- Chapter 4. Heavy Tails -- Chapter 5. Some Problems of Control. 330 $aThe author investigates the Cramer ?Lundberg model, collecting the most interesting theorems and methods, which estimate probability of default for a company of insurance business. These offer different kinds of approximate values for probability of default on the base of normal and diffusion approach and some special asymptotic. 606 $aRisk management$xMathematical models 606 $aStochastic analysis 615 0$aRisk management$xMathematical models. 615 0$aStochastic analysis. 676 $a332.015195 700 $aHarlamov$b Boris$01640797 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910824192903321 996 $aStochastic risk analysis and management$94010992 997 $aUNINA