LEADER 01576nam0 22004093i 450 001 VAN0278540 005 20240624035702.992 017 70$2N$a9781071627938 100 $a20240624d2022 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 200 1 $aMultivariate Reduced-Rank Regression$eTheory, Methods and Applications$fGregory C. Reinsel, Raja P. Velu, Kun Chen 205 $a2. ed 210 $aNew York$cSpringer$d2022 215 $axxi, 411 p.$cill.$d24 cm 410 1$1001VAN0001957$12001 $aLecture notes in statistics$1210 $aNew York [etc.]$cSpringer$v225 610 $aGeneralized reduced-rank regression$9KW:K 610 $aHigh-dimensional reduced-rank regression$9KW:K 610 $aLow-rank regression methods$9KW:K 610 $aMixed data$9KW:K 610 $aMultivariate Analysis$9KW:K 610 $aNon-Gaussian$9KW:K 610 $aSparse regression methods$9KW:K 610 $aTensor data$9KW:K 620 $aUS$dNew York$3VANL000011 700 1$aReinsel$bGregory C.$3VANV030716$061456 701 1$aChen$bKun$3VANV231102$01741871 701 1$aVelu$bRaja P.$3VANV231101$0117679 712 $aSpringer $3VANV108073$4650 790 1$aReinsel, G. C.$zReinsel, Gregory C.$3VANV061295 801 $aIT$bSOL$c20240628$gRICA 856 4 $uhttps://doi.org/10.1007/978-1-0716-2793-8$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 912 $fN 912 $aVAN0278540 996 $aMultivariate Reduced-Rank Regression$94168214 997 $aUNICAMPANIA