Autore: |
Chen, Jeffrey C.
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Titolo: |
Data Science for Public Policy / Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
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Pubblicazione: |
Cham, : Springer, 2021 |
Descrizione fisica: |
xiv, 363 p. : ill. ; 24 cm |
Soggetto topico: |
68-XX - Computer science [MSC 2020] |
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62H12 - Estimation in multivariate analysis [MSC 2020] |
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62-XX - Statistics [MSC 2020] |
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62J05 - Linear regression; mixed models [MSC 2020] |
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62H11 - Directional data; spatial statistics [MSC 2020] |
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68N15 - Theory of programming languages [MSC 2020] |
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91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] |
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62P20 - Applications of statistics to economics [MSC 2020] |
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62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020] |
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62P25 - Applications of statistics to social sciences [MSC 2020] |
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62P12 - Applications of statistics to environmental and related topics [MSC 2020] |
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68T50 - Natural language processing [MSC 2020] |
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91C20 - Clustering in the social and behavioral sciences [MSC 2020] |
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68N01 - General topics in the theory of software [MSC 2020] |
Soggetto non controllato: |
Data Sciences |
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Econometrics |
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Programming |
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Public policy |
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Statistics |
Altri autori: |
Cornwall, Gary J.
Rubin, Edward A.
|
Titolo autorizzato: |
Data Science for Public Policy |
Formato: |
Materiale a stampa |
Livello bibliografico |
Monografia |
Lingua di pubblicazione: |
Inglese |
Record Nr.: | VAN0274696 |
Lo trovi qui: | Univ. Vanvitelli |
Localizzazioni e accesso elettronico |
https://doi.org/10.1007/978-3-030-71352-2 |
Opac: |
Controlla la disponibilità qui |