LEADER 01861nam0 2200373 i 450 
001 SUN0113952
005 20180126015131.837
010   $d0.00
017 70$2N$a978-3-662-48344-2
100   $a20180123d2015       |0engc50      ba
101   $aeng
102   $aDE
105   $a||||    |||||
200 1 $a*Rankings and preferences$enew results in weighted correlation and weighted principal component analysis with applications$fJoaquim Pinto da Costa
205   $aBerlin$gHeidelberg : Springer, 2015
210   $aX$d91 p.$cill. ; 24 cm
215   $aPubblicazione in formato elettronico
410  1$1001SUN0102916$12001 $a*SpringerBriefs in statistics$1210  $aBerlin$cSpringer$d2011-.
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   $a62M10$xTime series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]$2MF$3SUNC025079
606   $a62H25$xFactor analysis and principal components; correspondence analysis [MSC 2020]$2MF$3SUNC025575
606   $a62H20$xMeasures of association (correlation, canonical correlation, etc.) [MSC 2020]$2MF$3SUNC031434
606   $a62F07$xStatistical ranking and selection procedures [MSC 2020]$2MF$3SUNC033732
620   $dBerlin$3SUNL000066
620   $aDE$dHeidelberg$3SUNL000282
700  1$aPinto da Costa$b, Joaquim$3SUNV088040$0755704
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20210503$gRICA
856 4 $uhttp://dx.doi.org/10.1007/978-3-662-48344-2
912   $aSUN0113952
950   $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS      e-book                  0401        $e08eMF401               20180123            
996   $aRankings and preferences$91522865
997   $aUNICAMPANIA