LEADER 02483nam0 2200565 i 450 001 VAN0124381 005 20230704103622.811 017 70$2N$a9783319720050 100 $a20191015d2017 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aRisk Theory$fHanspeter Schmidli 210 $aCham$cSpringer$d2017 215 $axii, 242 p.$cill.$d24 cm 410 1$1001VAN0124295$12001 $aSpringer Actuarial$1210 $aCham [etc.]$cSpringer 410 1$1001VAN0124383$12001 $aSpringer Actuarial Lecture notes$1210 $aCham [etc.]$cSpringer 500 1$3VAN0235935$aRisk Theory$91563124 606 $a60J25$xContinuous-time Markov processes on general state spaces [MSC 2020]$3VANC019839$2MF 606 $a91B05$xRisk models (general) [MSC 2020]$3VANC019981$2MF 606 $a60Gxx$xStochastic processes [MSC 2020]$3VANC020000$2MF 606 $a60J10$xMarkov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020]$3VANC020036$2MF 606 $a60F10$xLarge deviations [MSC 2020]$3VANC020796$2MF 606 $a91B16$xUtility theory [MSC 2020]$3VANC022753$2MF 606 $a60Kxx$xSpecial processes [MSC 2020]$3VANC024527$2MF 606 $a60K20$xApplications of Markov renewal processes (reliability, queueing networks, etc.) [MSC 2020]$3VANC031450$2MF 610 $aApproximation$9KW:K 610 $aChange of measure$9KW:K 610 $aCredibility$9KW:K 610 $aLundberg exponent$9KW:K 610 $aMarkov modulated model$9KW:K 610 $aRenewal model$9KW:K 610 $aReserving$9KW:K 610 $aRisk Models$9KW:K 610 $aRisk measures$9KW:K 610 $aRisk theory$9KW:K 610 $aRuin theory$9KW:K 610 $aSubexponential distributions$9KW:K 610 $aUtility theory$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aSchmidli$bHanspeter$3VANV095824$0767652 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-319-72005-0$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0124381 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 0883 $e08eMF883 20191015 996 $aRisk Theory$91563124 997 $aUNICAMPANIA