LEADER 01476nam0 2200337 i 450 
001 SUN0115164
005 20180301105230.231
010   $d0.00
017 70$2N$a978-3-319-26311-3
100   $a20180222d2016       |0engc50      ba
101   $aeng
102   $aCH
105   $a||||    |||||
200 1 $a*Parametric and nonparametric inference for statistical dynamic shape analysis with applications$fChiara Brombin ... [et al.]
205   $aCham : Springer, 2016
210   $aX$d115 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   $a62F15$xBayesian inference [MSC 2020]$2MF$3SUNC024528
606   $a62Gxx$xNonparametric inference [MSC 2020]$2MF$3SUNC024592
606   $a60E05$xProbability distributions: general theory [MSC 2020]$2MF$3SUNC024596
620   $aCH$dCham$3SUNL001889
702  1$aBrombin$b, Chiara$3SUNV089146
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20201026$gRICA
856 4 $uhttp://dx.doi.org/10.1007/978-3-319-26311-3
912   $aSUN0115164
950   $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS      SBA EBOOK 2442                      $e15EB 2442              20180222            
996   $aParametric and nonparametric inference for statistical dynamic shape analysis with applications$91523552
997   $aUNICAMPANIA