LEADER 02188nam0 2200457 i 450 001 VAN0114260 005 20220302101444.594 017 70$2N$a978-3-319-33946-7 100 $a20180131d2016 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aAdaptive regression for modeling nonlinear relationships$fGeorge J. Knafl, Kai Ding 210 $a[Cham]$cSpringer$d2016 215 $aXXVI, 372 p.$cill.$d24 cm 410 1$1001VAN0102850$12001 $aStatistics for biology and health$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN0241843$aAdaptive regression for modeling nonlinear relationships$91523059 606 $a62H12$xEstimation in multivariate analysis [MSC 2020]$3VANC021210$2MF 606 $a62J02$xGeneral nonlinear regression [MSC 2020]$3VANC021211$2MF 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62P10$xApplications of statistics to biology and medical sciences; meta analysis [MSC 2020]$3VANC024649$2MF 606 $a62H30$xClassification and discrimination; cluster analysis (statistical aspects) [MSC 2020]$3VANC028931$2MF 606 $a62G08$xNonparametric regression and quantile regression [MSC 2020]$3VANC029587$2MF 610 $aAdaptive Modeling$9KW:K 610 $aCross-validation$9KW:K 610 $aFractional polynomials$9KW:K 610 $aGeneralized additive modeling$9KW:K 610 $aHeuristic search$9KW:K 610 $aNonlinear regression$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aKnafl$bGeorge J.$3VANV088376$0755792 701 1$aDing$bKai$3VANV088377$0755793 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://dx.doi.org/10.1007/978-3-319-33946-7$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$2VAN15 912 $fN 912 $aVAN0114260 950 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS SBA EBOOK 2043 $e15EB 2043 20180131 996 $aAdaptive regression for modeling nonlinear relationships$91523059 997 $aUNICAMPANIA