Targeting Uplift : An Introduction to Net Scores / René Michel, Igor Schnakenburg, Tobias von Martens

• Autore: Michel, René
• Pubblicazione: Cham, : Springer, 2019
• Titolo uniforme: Targeting Uplift : An Introduction to Net Scores
• Descrizione fisica: xxxii, 351 p. : ill. ; 24 cm
• Soggetto topico: 62-XX - Statistics [MSC 2020]; 62F03 - Parametric hypothesis testing [MSC 2020]; 62P20 - Applications of statistics to economics [MSC 2020]; 62R07 - Statistical aspects of big data and data science [MSC 2020]; 68T09 - Computational aspects of data analysis and big data [MSC 2020]; 90B60 - Marketing, advertising [MSC 2020]; 91G70 - Statistical methods; risk measures [MSC 2020]
• Soggetto non controllato: Applications of net scoring in markerting; Campaign management; Enhanced scoring; Gross scoring; Incremental response; Net scoring; Personalized treatment learning; Predictive modelling; Scoring algorithm; Software implementation of net scoring algorithms; Uplift modelling
• Altri autori: Martens, Tobias von Schnakenburg, Igor
• Titolo autorizzato: Targeting Uplift : An Introduction to Net Scores
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00127179
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://doi.org/10.1007/978-3-030-22625-1