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Quantitative Methods for Investigating Infectious Disease Outbreaks / Ping Yan, Gerardo Chowell
| Quantitative Methods for Investigating Infectious Disease Outbreaks / Ping Yan, Gerardo Chowell |
| Autore | Yan, Ping |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xiii, 354 p. : ill. ; 24 cm |
| Altri autori (Persone) | Chowell, Gerardo |
| Soggetto topico |
60Kxx - Special processes [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 60J28 - Applications of continuous-time Markov processes on discrete state spaces [MSC 2020] 92D30 - Epidemiology [MSC 2020] 92C60 - Medical epidemiology [MSC 2020] |
| Soggetto non controllato |
Adjustments for time-length biases
Disease Transmission Models Dynamic Epidemic Models Epidemic Growth Scaling Epidemic investigation Infectious Disease Data Infectious Diseases Mathematical Models Observational data Statistical Inference in Disease Data Statistical Methods Stochastic processes |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127133 |
Yan, Ping
|
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Quantitative Methods for Investigating Infectious Disease Outbreaks / Ping Yan, Gerardo Chowell
| Quantitative Methods for Investigating Infectious Disease Outbreaks / Ping Yan, Gerardo Chowell |
| Autore | Yan, Ping |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xiii, 354 p. : ill. ; 24 cm |
| Altri autori (Persone) | Chowell, Gerardo |
| Soggetto topico |
60J28 - Applications of continuous-time Markov processes on discrete state spaces [MSC 2020]
60Kxx - Special processes [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92C60 - Medical epidemiology [MSC 2020] 92D30 - Epidemiology [MSC 2020] |
| Soggetto non controllato |
Adjustments for time-length biases
Disease Transmission Models Dynamic Epidemic Models Epidemic Growth Scaling Epidemic investigation Infectious Disease Data Infectious Diseases Mathematical Models Observational data Statistical Methods Statistical inference Stochastic processes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00127133 |
|
Yan, Ping
|
||
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Statistical Causal Discovery: LiNGAM Approach / Shohei Shimizu
| Statistical Causal Discovery: LiNGAM Approach / Shohei Shimizu |
| Autore | Shimizu, Shohei |
| Pubbl/distr/stampa | Tokyo, : Springer, 2022 |
| Descrizione fisica | ix, 94 p. : ill. ; 24 cm |
| Soggetto non controllato |
Causal Discovery
Causal inference LiNGAM Observational data Structural Equation Modeling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0278251 |
|
Shimizu, Shohei
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| Tokyo, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Statistical Causal Discovery: LiNGAM Approach / Shohei Shimizu
| Statistical Causal Discovery: LiNGAM Approach / Shohei Shimizu |
| Autore | Shimizu, Shohei |
| Pubbl/distr/stampa | Tokyo, : Springer, 2022 |
| Descrizione fisica | ix, 94 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62D20 - Causal inference from observational studies [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62N05 - Reliability and life testing [MSC 2020] |
| Soggetto non controllato |
Causal Discovery
Causal inference LiNGAM Observational data Structural Equation Modeling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278251 |
|
Shimizu, Shohei
|
||
| Tokyo, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||