LEADER 02341nam0 2200553 i 450 001 VAN0126725 005 20230626125213.949 017 70$2N$a9783030137854 100 $a20200214d2019 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aAnalyzing Dependent Data with Vine Copulas$eA Practical Guide With R$fClaudia Czado 210 $aCham$cSpringer$d2019 215 $axxix, 242 p.$cill.$d24 cm 410 1$1001VAN0001957$12001 $aLecture notes in statistics$1210 $aNew York [etc.]$cSpringer$v222 500 1$3VAN0236664$aAnalyzing Dependent Data with Vine Copulas$91668157 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62Hxx$xMultivariate analysis [MSC 2020]$3VANC026440$2MF 606 $a62P05$xApplications of statistics to actuarial sciences and financial mathematics [MSC 2020]$3VANC030682$2MF 610 $aBivariate copula$9KW:K 610 $aCase study$9KW:K 610 $aCopulas$9KW:K 610 $aDependence measures$9KW:K 610 $aDependence modeling$9KW:K 610 $aDependent data$9KW:K 610 $aModel selection$9KW:K 610 $aMultivariate statistics$9KW:K 610 $aPair copula$9KW:K 610 $aPair copula decomposition$9KW:K 610 $aParameter estimation in copulas$9KW:K 610 $aR package VineCopula$9KW:K 610 $aRegular vine copula$9KW:K 610 $aSimulating regular vine copulas$9KW:K 610 $aStatistical inference for vine copulas$9KW:K 610 $aTail Dependence$9KW:K 610 $aVine copula based modeling$9KW:K 610 $aVine copulas$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aCzado$bClaudia$3VANV098123$0780992 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-13785-4$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 $aVAN0126725 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 1507 $e08eMF1507 20200214 996 $aAnalyzing Dependent Data with Vine Copulas$91668157 997 $aUNICAMPANIA