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Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis / Frank E. Harrell, Jr
Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis / Frank E. Harrell, Jr
Autore Harrell, Frank E., Jr
Edizione [2. ed]
Pubbl/distr/stampa [Cham], : Springer, 2015
Descrizione fisica XXV, 582 p. : ill. ; 24 cm
Soggetto topico 62J02 - General nonlinear regression [MSC 2020]
62-XX - Statistics [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
62J12 - Generalized linear models (logistic models) [MSC 2020]
62Nxx - Survival analysis and censored data [MSC 2020]
Soggetto non controllato Generalized least squares
Knitr reproducible documents
Linear Models
Logistic Regression
Predictive modelling
R statistical software
Regression analysis
Survival analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0113626
Harrell, Frank E., Jr  
[Cham], : Springer, 2015
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis / Frank E. Harrell, Jr
Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis / Frank E. Harrell, Jr
Autore Harrell, Frank E., Jr
Edizione [2. ed]
Pubbl/distr/stampa [Cham], : Springer, 2015
Descrizione fisica XXV, 582 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62J02 - General nonlinear regression [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020]
62J12 - Generalized linear models (logistic models) [MSC 2020]
62Nxx - Survival analysis and censored data [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
Soggetto non controllato Generalized least squares
Knitr reproducible documents
Linear Models
Logistic Regression
Predictive modelling
R statistical software
Regression analysis
Survival analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00113626
Harrell, Frank E., Jr  
[Cham], : Springer, 2015
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Targeting Uplift : An Introduction to Net Scores / René Michel, Igor Schnakenburg, Tobias von Martens
Targeting Uplift : An Introduction to Net Scores / René Michel, Igor Schnakenburg, Tobias von Martens
Autore Michel, René
Pubbl/distr/stampa Cham, : Springer, 2019
Descrizione fisica xxxii, 351 p. : ill. ; 24 cm
Altri autori (Persone) Martens, Tobias von
Schnakenburg, Igor
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]
91G70 - Statistical methods; risk measures [MSC 2020]
90B60 - Marketing, advertising [MSC 2020]
68T09 - Computational aspects of data analysis and big data [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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0127179
Michel, René  
Cham, : Springer, 2019
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Targeting Uplift : An Introduction to Net Scores / René Michel, Igor Schnakenburg, Tobias von Martens
Targeting Uplift : An Introduction to Net Scores / René Michel, Igor Schnakenburg, Tobias von Martens
Autore Michel, René
Pubbl/distr/stampa Cham, : Springer, 2019
Descrizione fisica xxxii, 351 p. : ill. ; 24 cm
Altri autori (Persone) Martens, Tobias von
Schnakenburg, Igor
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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00127179
Michel, René  
Cham, : Springer, 2019
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui