LEADER 01641nam0 2200361 i 450 
001 SUN0123391
005 20190924121951.534
010   $d0.00
017 70$2N$a978-3-319-64671-8
100   $a20190919d2017       |0engc50      ba
101   $aeng
102   $aCH
105   $a||||    |||||
200 1 $a*Algorithms and programs of dynamic mixture Estimation$eunified approach to different types of components$fIvan Nagy, Evgenia Suzdaleva
205   $aCham : Springer, 2017
210   $aXI$d113 p.$cill. ; 24 cm
215   $aPubblicazione in formato elettronico
410  1$1001SUN0102916$12001 $a*SpringerBriefs in statistics$1210  $aBerlin$cSpringer$d2011-.
606   $a62F10$xPoint estimation [MSC 2020]$2MF$3SUNC021207
606   $a62H12$xEstimation in multivariate analysis [MSC 2020]$2MF$3SUNC021210
606   $a62-XX$xStatistics [MSC 2020]$2MF$3SUNC022998
606   $a62F15$xBayesian inference [MSC 2020]$2MF$3SUNC024528
606   $a62H30$xClassification and discrimination; cluster analysis (statistical aspects) [MSC 2020]$2MF$3SUNC028931
620   $aCH$dCham$3SUNL001889
700  1$aNagy$b, Ivan$3SUNV094795$0766766
701  1$aSuzdaleva$b, Evgenia$3SUNV094796$0766767
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20210503$gRICA
856 4 $uhttp://doi.org/10.1007/978-3-319-64671-8
912   $aSUN0123391
950   $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS      e-book                  0548        $e08eMF548               20190919            
996   $aAlgorithms and programs of dynamic mixture Estimation$91560462
997   $aUNICAMPANIA