LEADER 01824nam0 2200385 i 450 
001 SUN0114987
005 20180228091935.108
010   $d0.00
017 70$2N$a978-3-319-28158-2
100   $a20180219d2016       |0engc50      ba
101   $aeng
102   $aCH
105   $a||||    |||||
200 1 $a*Modeling discrete time-to-event data$fGerhard Tutz, Matthias Schmid
205   $a[Cham] : Springer, 2016
210   $aX$d247 p.$cill. ; 24 cm
215   $aPubblicazione in formato elettronico
410  1$1001SUN0036509$12001 $a*Springer series in statistics$1210  $aNew York$cSpringer.
606   $a62-XX$xStatistics [MSC 2020]$2MF$3SUNC022998
606   $a62P10$xApplications of statistics to biology and medical sciences; meta analysis [MSC 2020]$2MF$3SUNC024649
606   $a62M10$xTime series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]$2MF$3SUNC025079
606   $a62G05$xNonparametric estimation [MSC 2020]$2MF$3SUNC029306
606   $a62P05$xApplications of statistics to actuarial sciences and financial mathematics [MSC 2020]$2MF$3SUNC030682
606   $a62N02$xEstimation in survival analysis and censored data [MSC 2020]$2MF$3SUNC033692
606   $a62N03$xTesting in survival analysis and censored data [MSC 2020]$2MF$3SUNC033860
620   $aCH$dCham$3SUNL001889
700  1$aTutz$b, Gerhard$3SUNV088993$089112
701  1$aSchmid$b, Matthias$3SUNV088994$0755976
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20201026$gRICA
856 4 $uhttp://dx.doi.org/10.1007/978-3-319-28158-2
912   $aSUN0114987
950   $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS      SBA EBOOK 2371                      $e15EB 2371              20180219            
996   $aModeling discrete time-to-event data$91523462
997   $aUNICAMPANIA