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Characterizing Interdependencies of Multiple Time Series : Theory and Applications / Yuzo Hosoya ... [et al.]
| Characterizing Interdependencies of Multiple Time Series : Theory and Applications / Yuzo Hosoya ... [et al.] |
| Pubbl/distr/stampa | Singapore, : Springer, 2017 |
| Descrizione fisica | x, 133 p. : ill. ; 24 cm |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
62-XX - Statistics [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 91B84 - Economic time series analysis [MSC 2020] 62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020] |
| Soggetto non controllato |
Autoregressive Moving-average Model
Canonical Factorization Causal Analysis Large sample tests Prediction Error |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124132 |
| Singapore, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Characterizing Interdependencies of Multiple Time Series : Theory and Applications / Yuzo Hosoya ... [et al.]
| Characterizing Interdependencies of Multiple Time Series : Theory and Applications / Yuzo Hosoya ... [et al.] |
| Pubbl/distr/stampa | Singapore, : Springer, 2017 |
| Descrizione fisica | x, 133 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 91B84 - Economic time series analysis [MSC 2020] |
| Soggetto non controllato |
Autoregressive Moving-average Model
Canonical Factorization Causal Analysis Large sample tests Prediction Error |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124132 |
| Singapore, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Lectures on Categorical Data Analysis / Tamás Rudas
| Lectures on Categorical Data Analysis / Tamás Rudas |
| Autore | Rudas, Tamás |
| Pubbl/distr/stampa | New York, : Springer, 2018 |
| Descrizione fisica | xi, 285 p. : ill. ; 24 cm |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62-XX - Statistics [MSC 2020] 60Exx - Distribution theory [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] |
| Soggetto non controllato |
Association and Causation
Biostatistics Categorical data analysis Causal Analysis Data analysis Exponential Family Graphical Models Latent class analysis Log-linear models Markov properties Simpson's paradox Social Statistics Survey Analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0125185 |
Rudas, Tamás
|
||
| New York, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Lectures on Categorical Data Analysis / Tamás Rudas
| Lectures on Categorical Data Analysis / Tamás Rudas |
| Autore | Rudas, Tamás |
| Pubbl/distr/stampa | New York, : Springer, 2018 |
| Descrizione fisica | xi, 285 p. : ill. ; 24 cm |
| Soggetto topico |
60Exx - Distribution theory [MSC 2020]
62-XX - Statistics [MSC 2020] 62F10 - Point estimation [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] |
| Soggetto non controllato |
Association and Causation
Biostatistics Categorical data analysis Causal Analysis Data analysis Exponential Families Graphical Models Latent class analysis Log-linear models Markov properties Simpson's paradox Social Statistics Survey Analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00125185 |
|
Rudas, Tamás
|
||
| New York, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||