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Data Science for Public Policy / Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall



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Autore: Chen, Jeffrey C. Visualizza persona
Titolo: Data Science for Public Policy / Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall Visualizza cluster
Pubblicazione: Cham, : Springer, 2021
Descrizione fisica: xiv, 363 p. : ill. ; 24 cm
Soggetto topico: 62-XX - Statistics [MSC 2020]
62H11 - Directional data; spatial statistics [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020]
62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020]
62P12 - Applications of statistics to environmental and related topics [MSC 2020]
62P20 - Applications of statistics to economics [MSC 2020]
62P25 - Applications of statistics to social sciences [MSC 2020]
68-XX - Computer science [MSC 2020]
68N01 - General topics in the theory of software [MSC 2020]
68N15 - Theory of programming languages [MSC 2020]
68T50 - Natural language processing [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020]
91C20 - Clustering in the social and behavioral sciences [MSC 2020]
Soggetto non controllato: Data Sciences
Econometrics
Programming
Public policy
Statistics
Altri autori: Cornwall, Gary J.  
Rubin, Edward A.  
Titolo autorizzato: Data Science for Public Policy  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: VAN00274696
Lo trovi qui: Univ. Vanvitelli
Localizzazioni e accesso elettronico https://doi.org/10.1007/978-3-030-71352-2
Opac: Controlla la disponibilità qui
Serie: Springer series in the Data Sciences Berlin [etc.] . -Springer