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Continuous Time Modeling in the Behavioral and Related Sciences / Kees van Montfort, Johan H.L. Oud, Manuel C. Voelkle editors
| Continuous Time Modeling in the Behavioral and Related Sciences / Kees van Montfort, Johan H.L. Oud, Manuel C. Voelkle editors |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xi, 442 p. : ill. ; 24 cm |
| Soggetto topico |
93Exx - Stochastic systems and control [MSC 2020]
91Bxx - Mathematical economics [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 91D30 - Social networks; opinion dynamics [MSC 2020] 37N40 - Dynamical systems in optimization and economics [MSC 2020] 65F60 - Numerical computation of matrix exponential and similar matrix functions [MSC 2020] 97M70 - Behavioral and social sciences (aspects of mathematics education) [MSC 2020] |
| Soggetto non controllato |
Adaptive equilibrium
Analysis of panel data Bayesian continuous time modeling CARMA modeling Continuous time modeling Exact discrete time model Impulse response Longitudinal studies Panel data Recursive partitioning State-space modeling Structural Equation Modeling Time series data Time-varying parameters |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124615 |
| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Continuous Time Modeling in the Behavioral and Related Sciences / Kees van Montfort, Johan H.L. Oud, Manuel C. Voelkle editors
| Continuous Time Modeling in the Behavioral and Related Sciences / Kees van Montfort, Johan H.L. Oud, Manuel C. Voelkle editors |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xi, 442 p. : ill. ; 24 cm |
| Soggetto topico |
37N40 - Dynamical systems in optimization and economics [MSC 2020]
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 65F60 - Numerical computation of matrix exponential and similar matrix functions [MSC 2020] 91Bxx - Mathematical economics [MSC 2020] 91D30 - Social networks; opinion dynamics [MSC 2020] 93Exx - Stochastic systems and control [MSC 2020] 97M70 - Behavioral and social sciences (aspects of mathematics education) [MSC 2020] |
| Soggetto non controllato |
Adaptive equilibrium
Analysis of panel data Bayesian continuous time modeling CARMA modeling Continuous time modeling Exact discrete time model Impulse response Longitudinal studies Panel data Recursive partitioning State-space modeling Structural Equation Modeling Time series data Time-varying parameters |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124615 |
| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Modeling discrete time-to-event data / Gerhard Tutz, Matthias Schmid
| Modeling discrete time-to-event data / Gerhard Tutz, Matthias Schmid |
| Autore | Tutz, Gerhard |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | X, 247 p. : ill. ; 24 cm |
| Altri autori (Persone) | Schmid, Matthias |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] |
| Soggetto non controllato |
Additive models
Competing risks Continuation ratio model DiscSurv Discrete frailty model Discrete hazard function Discrete hazard model Generalized estimation equations Goodness-of-Fit Gradient boosting Interval censoring Life tables Multiple spells Penalized regression Recursive partitioning Sequential methods in item response theory Smooth effects Survival data Survival functions Time-dependent AUC Time-to-Event Data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114987 |
Tutz, Gerhard
|
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Modeling discrete time-to-event data / Gerhard Tutz, Matthias Schmid
| Modeling discrete time-to-event data / Gerhard Tutz, Matthias Schmid |
| Autore | Tutz, Gerhard |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | X, 247 p. : ill. ; 24 cm |
| Altri autori (Persone) | Schmid, Matthias |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Additive models
Competing risks Continuation ratio model DiscSurv Discrete frailty model Discrete hazard function Discrete hazard model Generalized estimation equations Goodness-of-fit test Gradient boosting Interval censoring Life tables Multiple spells Penalized regression Recursive partitioning Sequential methods in item response theory Smooth effects Survival data Survival functions Time-dependent AUC Time-to-Event Data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114987 |
|
Tutz, Gerhard
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Recursive Partitioning in the Health Sciences / Heping Zhang, Burton Singer
| Recursive Partitioning in the Health Sciences / Heping Zhang, Burton Singer |
| Autore | Zhang, Heping |
| Pubbl/distr/stampa | New York, : Springer, 1999 |
| Descrizione fisica | xii, 226 p. : ill. ; 24 cm |
| Altri autori (Persone) | Singer, Burton H. |
| Soggetto non controllato |
Classifications
Computer-assisted detection Factor analysis Logistic Regression Methodology Radiology Information Systems Recursive partitioning Statistics Statistics for Health Sciences |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00300529 |
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Zhang, Heping
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| New York, : Springer, 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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