LEADER 01846nam0 2200409 i 450 001 VAN00103264 005 20240806100722.713 017 70$2N$a978-3-319-03149-1 100 $a20151030d2014 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aPenalty, shrinkage and pretest strategies$evariable selection and estimation$fS. Ejaz Ahmed 210 $aCham$cSpringer$d2014 215 $aIX, 115 p.$cill.$d24 cm 410 1$1001VAN00102916$12001 $aSpringerBriefs in statistics$1210 $aBerlin [etc.]$cSpringer$d2011- 500 1$3VAN00240627$aPenalty, shrinkage and pretest strategies$91410228 606 $a62F10$xPoint estimation [MSC 2020]$3VANC021207$2MF 606 $a62F12$xAsymptotic properties of parametric estimators [MSC 2020]$3VANC030772$2MF 606 $a62J05$xLinear regression; mixed models [MSC 2020]$3VANC023156$2MF 606 $a62J07$xRidge regression; shrinkage estimators (Lasso) [MSC 2020]$3VANC031204$2MF 610 $aPenalty estimation$9KW:K 610 $aPooling data$9KW:K 610 $aPretest and shrinkage estimation$9KW:K 610 $aRegression models$9KW:K 610 $aVariable Selection$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aAhmed$bSyed Ejaz$3VANV080592$0721649 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240906$gRICA 856 4 $uhttp://dx.doi.org/10.1007/978-3-319-03149-1$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 $aVAN00103264 950 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS SBA EBOOK 4669 $e15EB 4669 20191107 996 $aPenalty, shrinkage and pretest strategies$91410228 997 $aUNICAMPANIA