LEADER 02449nam0 2200529 i 450 001 VAN0127179 005 20230628084659.313 017 70$2N$a9783030226251 100 $a20200226d2019 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aTargeting Uplift$eAn Introduction to Net Scores$fRené Michel, Igor Schnakenburg, Tobias von Martens 210 $aCham$cSpringer$d2019 215 $axxxii, 351 p.$cill.$d24 cm 500 1$3VAN0237015$aTargeting Uplift : An Introduction to Net Scores$92566091 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62F03$xParametric hypothesis testing [MSC 2020]$3VANC024582$2MF 606 $a62P20$xApplications of statistics to economics [MSC 2020]$3VANC026444$2MF 606 $a62R07$xStatistical aspects of big data and data science [MSC 2020]$3VANC026514$2MF 606 $a91G70$xStatistical methods; risk measures [MSC 2020]$3VANC030929$2MF 606 $a90B60$xMarketing, advertising [MSC 2020]$3VANC035166$2MF 606 $a68T09$xComputational aspects of data analysis and big data [MSC 2020]$3VANC035916$2MF 610 $aApplications of net scoring in markerting$9KW:K 610 $aCampaign management$9KW:K 610 $aEnhanced scoring$9KW:K 610 $aGross scoring$9KW:K 610 $aIncremental response$9KW:K 610 $aNet scoring$9KW:K 610 $aPersonalized treatment learning$9KW:K 610 $aPredictive modelling$9KW:K 610 $aScoring algorithm$9KW:K 610 $aSoftware implementation of net scoring algorithms$9KW:K 610 $aUplift modelling$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aMichel$bRené$3VANV098618$0781716 701 1$aMartens$bTobias von$3VANV098620$0781718 701 1$aSchnakenburg$bIgor$3VANV098619$0781717 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-22625-1$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 $aVAN0127179 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 1765 $e08eMF1765 20200226 996 $aTargeting Uplift : An Introduction to Net Scores$92566091 997 $aUNICAMPANIA