LEADER 02012nam0 2200409 i 450 
001 SUN0114588
005 20180208102008.199
010   $d0.00
017 70$2N$a978-3-319-48015-2
100   $a20180207d2016       |0engc50      ba
101   $aeng
102   $aCH
105   $a||||    |||||
200 1 $a*Convolution copula econometrics$fUmberto Cherubini, Fabio Gobbi, Sabrina Mulinacci
205   $a[Cham] : Springer, 2016
210   $aX$d90 p.$cill. ; 24 cm
215   $aPubblicazione in formato elettronico
410  1$1001SUN0102916$12001 $a*SpringerBriefs in statistics$1210  $aBerlin$cSpringer$d2011-.
606   $a62-XX$xStatistics [MSC 2020]$2MF$3SUNC022998
606   $a62M05$xMarkov processes: estimation; hidden Markov models [MSC 2020]$2MF$3SUNC024698
606   $a62M10$xTime series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]$2MF$3SUNC025079
606   $a91-XX$xGame theory, economics, finance, and other social and behavioral sciences [MSC 2020]$2MF$3SUNC025601
606   $a62P20$xApplications of statistics to economics [MSC 2020]$2MF$3SUNC026444
606   $a62P05$xApplications of statistics to actuarial sciences and financial mathematics [MSC 2020]$2MF$3SUNC030682
606   $a91B84$xEconomic time series analysis [MSC 2020]$2MF$3SUNC030773
606   $a62H20$xMeasures of association (correlation, canonical correlation, etc.) [MSC 2020]$2MF$3SUNC031434
620   $aCH$dCham$3SUNL001889
700  1$aCherubini$b, Umberto$3SUNV087699$0118857
701  1$aMulinacci$b, Sabrina$3SUNV087701$0732874
701  1$aGobbi$b, Fabio$3SUNV088656$0755873
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20201026$gRICA
856 4 $uhttp://dx.doi.org/10.1007/978-3-319-48015-2
912   $aSUN0114588
950   $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS      SBA EBOOK 2187                      $e15EB 2187              20180207            
996   $aConvolution copula econometrics$91523248
997   $aUNICAMPANIA