LEADER 02709nam0 22005653i 450 001 VAN00278540 005 20250922115443.641 017 70$2N$a9781071627938 100 $a20240624d2022 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 181 $ai$b e 182 $ab 183 $acr 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$1001VAN00001957$12001 $aLecture notes in statistics$1210 $aNew York [etc.]$cSpringer$d1980-$v225 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62H20$xMeasures of association (correlation, canonical correlation, etc.) [MSC 2020]$3VANC031434$2MF 606 $a62H25$xFactor analysis and principal components; correspondence analysis [MSC 2020]$3VANC025575$2MF 606 $a62H30$xClassification and discrimination; cluster analysis (statistical aspects) [MSC 2020]$3VANC028931$2MF 606 $a62J05$xLinear regression; mixed models [MSC 2020]$3VANC023156$2MF 606 $a62J10$xAnalysis of variance and covariance (ANOVA) [MSC 2020]$3VANC026516$2MF 606 $a62M10$xTime series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]$3VANC025079$2MF 606 $a62R07$xStatistical aspects of big data and data science [MSC 2020]$3VANC026514$2MF 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$c20250926$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 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00278540 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-Book 9052 $e08eMF9052 20240701 996 $aMultivariate Reduced-Rank Regression$94168214 997 $aUNICAMPANIA