Compositional data analysis : CoDaWork, l’Escala, Spain, june 2015 / Josep Antoni Martín-Fernández, Santiago Thió-Henestrosa editors |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | X, 209 p. : ill. ; 24 cm |
Soggetto topico |
35-XX - Partial differential equations [MSC 2020]
62-XX - Statistics [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Soggetto non controllato |
Applications in computer science
Applications in geochemistry Applications in the life sciences Compositional data Constrained data Geochemical data Log-ratio approach Log-ratio transformation Multivariate statistics Statistical modeling of compositional data |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0114539 |
[Cham], : Springer, 2016 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
|
Compositional data analysis : CoDaWork, l’Escala, Spain, june 2015 / Josep Antoni Martín-Fernández, Santiago Thió-Henestrosa editors |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | X, 209 p. : ill. ; 24 cm |
Soggetto topico |
35-XX - Partial differential equations [MSC 2020]
62-XX - Statistics [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Soggetto non controllato |
Applications in computer science
Applications in geochemistry Applications in the life sciences Compositional data Constrained data Geochemical data Log-ratio approach Log-ratio transformation Multivariate statistics Statistical modeling of compositional data |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00114539 |
[Cham], : Springer, 2016 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Time series analysis and forecasting : selected contributions from the ITISE conference / Ignacio Rojas, Héctor Pomares editors |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | XIX, 384 p. : ill. ; 24 cm |
Soggetto topico |
68-XX - Computer science [MSC 2020]
58-XX - Global analysis, analysis on manifolds [MSC 2020] 37-XX - Dynamical systems and ergodic theory [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 62-XX - Statistics [MSC 2020] 37M10 - Time series analysis of dynamical systems [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] |
Soggetto non controllato |
Applications in Industry
Applications in computer science Applications in econometrics Big Data Forecasting High-Dimensional Data Machine learning On-line learning Real-life problems Statistical methods for time series Time Series Analysis |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0115445 |
[Cham], : Springer, 2016 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Time series analysis and forecasting : selected contributions from the ITISE conference / Ignacio Rojas, Héctor Pomares editors |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | XIX, 384 p. : ill. ; 24 cm |
Soggetto topico |
37-XX - Dynamical systems and ergodic theory [MSC 2020]
37M10 - Time series analysis of dynamical systems [MSC 2020] 58-XX - Global analysis, analysis on manifolds [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 62-XX - Statistics [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 68-XX - Computer science [MSC 2020] |
Soggetto non controllato |
Applications in Industry
Applications in computer science Applications in econometrics Big Data Forecasting High-Dimensional Data Machine learning On-line learning Real-life problems Statistical methods for time series Time Series Analysis |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00115445 |
[Cham], : Springer, 2016 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
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