LEADER 01811nam0 2200385 i 450 
001 SUN0114260
005 20180205103317.274
010   $d0.00
017 70$2N$a978-3-319-33946-7
100   $a20180131d2016       |0engc50      ba
101   $aeng
102   $aCH
105   $a||||    |||||
200 1 $a*Adaptive regression for modeling nonlinear relationships$fGeorge J. Knafl, Kai Ding
205   $a[Cham] : Springer, 2016
210   $aXXVI$d372 p.$cill. ; 24 cm
215   $aPubblicazione in formato elettronico
410  1$1001SUN0102850$12001 $a*Statistics for biology and health$1210  $aBerlin$cSpringer.
606   $a62H12$xEstimation in multivariate analysis [MSC 2020]$2MF$3SUNC021210
606   $a62J02$xGeneral nonlinear regression [MSC 2020]$2MF$3SUNC021211
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   $a62H30$xClassification and discrimination; cluster analysis (statistical aspects) [MSC 2020]$2MF$3SUNC028931
606   $a62G08$xNonparametric regression and quantile regression [MSC 2020]$2MF$3SUNC029587
620   $aCH$dCham$3SUNL001889
700  1$aKnafl$b, George J.$3SUNV088376$0755792
701  1$aDing$b, Kai$3SUNV088377$0755793
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20201026$gRICA
856 4 $uhttp://dx.doi.org/10.1007/978-3-319-33946-7
856 4 $uhttp://www.unc.edu/~gknafl/AdaptReg.html$zAdditional material
912   $aSUN0114260
950   $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS      SBA EBOOK 2043                      $e15EB 2043              20180131            
996   $aAdaptive regression for modeling nonlinear relationships$91523059
997   $aUNICAMPANIA