LEADER 01463nam0 2200337 i 450 
001 SUN0103264
005 20151120101600.498
010   $a8-3-319-03148-4$d0.00
017 70$2N$a978-3-319-03149-1
100   $a20151030d2014       |0engc50      ba
101   $aeng
102   $aCH
105   $a||||    |||||
200 1 $a*Penalty, shrinkage and pretest strategies$evariable selection and estimation$fS. Ejaz Ahmed
205   $aCham : Springer, 2014
210   $aIX$d115 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   $a62J05$xLinear regression; mixed models [MSC 2020]$2MF$3SUNC023156
606   $a62F12$xAsymptotic properties of parametric estimators [MSC 2020]$2MF$3SUNC030772
606   $a62J07$xRidge regression; shrinkage estimators (Lasso) [MSC 2020]$2MF$3SUNC031204
620   $aCH$dCham$3SUNL001889
700  1$aAhmed$b, Syed Ejaz$3SUNV080592$0721649
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20201026$gRICA
856 4 $uhttp://dx.doi.org/10.1007/978-3-319-03149-1
912   $aSUN0103264
950   $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS      SBA EBOOK 4669                      $e15EB 4669              20191107            
996   $aPenalty, shrinkage and pretest strategies$91410228
997   $aUNICAMPANIA