02452nam0 2200529 i 450 VAN0012717920240806100823.506N978303022625120200226d2019 |0itac50 baengCH|||| |||||Targeting UpliftAn Introduction to Net ScoresRené Michel, Igor Schnakenburg, Tobias von MartensChamSpringer2019xxxii, 351 p.ill.24 cmVAN00237015Targeting Uplift : An Introduction to Net Scores256609162-XXStatistics [MSC 2020]VANC022998MF62F03Parametric hypothesis testing [MSC 2020]VANC024582MF62P20Applications of statistics to economics [MSC 2020]VANC026444MF62R07Statistical aspects of big data and data science [MSC 2020]VANC026514MF68T09Computational aspects of data analysis and big data [MSC 2020]VANC035916MF90B60Marketing, advertising [MSC 2020]VANC035166MF91G70Statistical methods; risk measures [MSC 2020]VANC030929MFApplications of net scoring in markertingKW:KCampaign managementKW:KEnhanced scoringKW:KGross scoringKW:KIncremental responseKW:KNet scoringKW:KPersonalized treatment learningKW:KPredictive modellingKW:KScoring algorithmKW:KSoftware implementation of net scoring algorithmsKW:KUplift modellingKW:KCHChamVANL001889MichelRenéVANV098618781716MartensTobias vonVANV098620781718SchnakenburgIgorVANV098619781717Springer <editore>VANV108073650ITSOL20241115RICAhttp://doi.org/10.1007/978-3-030-22625-1E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00127179BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-book 1765 08eMF1765 20200226 Targeting Uplift : An Introduction to Net Scores2566091UNICAMPANIA