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Mathematics of Public Health : Proceedings of the Seminar on the Mathematical Modelling of COVID-19 / V. Kumar Murty, Jianhong Wu editors
| Mathematics of Public Health : Proceedings of the Seminar on the Mathematical Modelling of COVID-19 / V. Kumar Murty, Jianhong Wu editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | x, 353 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
92-XX - Biology and other natural sciences [MSC 2020] 92D30 - Epidemiology [MSC 2020] |
| Soggetto non controllato |
COVID-19 outbreak trajectories
COVID-19 pandemic research Control measures Data modeling Fields math modelling taskforce Forecasting COVID-19 Generalized Linear Models Generalized additive models Intermediate rank spline Link functions Mathematical methods COVID-19 Nearcasting COVID-19 Optimization Plasma treatment COVID-19 Regression analysis Reported and unreported cases SEIR modeling Semi-parametric Models Statistical analysis Transmission dynamics |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277897 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Mathematics of Public Health : Proceedings of the Seminar on the Mathematical Modelling of COVID-19 / V. Kumar Murty, Jianhong Wu editors
| Mathematics of Public Health : Proceedings of the Seminar on the Mathematical Modelling of COVID-19 / V. Kumar Murty, Jianhong Wu editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | x, 353 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
92-XX - Biology and other natural sciences [MSC 2020] 92D30 - Epidemiology [MSC 2020] |
| Soggetto non controllato |
COVID-19 outbreak trajectories
COVID-19 pandemic research Control measures Data modeling Fields math modelling taskforce Forecasting COVID-19 Generalized Linear Models Generalized additive models Intermediate rank spline Link functions Mathematical methods COVID-19 Nearcasting COVID-19 Optimization Plasma treatment COVID-19 Regression analysis Reported and unreported cases SEIR modeling Semi-parametric Models Statistical analysis Transmission dynamics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00277897 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Modeling Survival Data Using Frailty Models / David D. Hanagal
| Modeling Survival Data Using Frailty Models / David D. Hanagal |
| Autore | Hanagal, David D. |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Singapore, : Springer, 2019 |
| Descrizione fisica | xxiv, 295 p. : ill. ; 24 cm |
| Soggetto topico |
37Mxx - Approximation methods and numerical treatment of dynamical systems [MSC 2020]
62Nxx - Survival analysis and censored data [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62-08 - Computational methods for problems pertaining to statistics [MSC 2020] |
| Soggetto non controllato |
Bayesian Inference
Estimation Methods Frailty Models Hypothesis Testing Non-parametric Models Parametric Models Semi-parametric Models Statistical Modelling Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127367 |
Hanagal, David D.
|
||
| Singapore, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Modeling Survival Data Using Frailty Models / David D. Hanagal
| Modeling Survival Data Using Frailty Models / David D. Hanagal |
| Autore | Hanagal, David D. |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Singapore, : Springer, 2019 |
| Descrizione fisica | xxiv, 295 p. : ill. ; 24 cm |
| Soggetto topico |
37Mxx - Approximation methods and numerical treatment of dynamical systems [MSC 2020]
62-08 - Computational methods for problems pertaining to statistics [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62Nxx - Survival analysis and censored data [MSC 2020] |
| Soggetto non controllato |
Bayesian Inference
Estimation Methods Frailty Models Hypothesis Testing Non-parametric Models Parametric Models Semi-parametric Models Statistical Modelling Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00127367 |
|
Hanagal, David D.
|
||
| Singapore, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||