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An Introduction to Bispectral Analysis and Bilinear Time Series Models / T. Subba Rao, M. M. Gabr
| An Introduction to Bispectral Analysis and Bilinear Time Series Models / T. Subba Rao, M. M. Gabr |
| Autore | Rao, Tata Subba |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1984 |
| Descrizione fisica | viii, 280 p. ; 24 cm |
| Altri autori (Persone) | Gabr, Mohamed M. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62M15 - Inference from stochastic processes and spectral analysis [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] |
| Soggetto non controllato |
Analysis
Best fit Bilinear modelS Fitting Random variables Series Spectral Analysis Time Time Series Analysis Time series Variance |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0268639 |
Rao, Tata Subba
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| New York, : Springer-Verlag, 1984 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Compendium / Marcel van Oijen
| Bayesian Compendium / Marcel van Oijen |
| Autore | Oijen, Marcel van |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiv, 204 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 62A01 - Foundations and philosophical topics in statistics [MSC 2020] |
| Soggetto non controllato |
Bayesian methods
Data Assimilation Goodness-of-Fit Graphical Modelling Linear modelling MSE-decomposition Multidimensionality Risk analysis Sampling from the posterior |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248744 |
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Oijen, Marcel van
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Dynamic Systems Models : New Methods of Parameter and State Estimation / Josif A. Boguslavskiy ; Mark Borodovsky editor
| Dynamic Systems Models : New Methods of Parameter and State Estimation / Josif A. Boguslavskiy ; Mark Borodovsky editor |
| Autore | Boguslavskiy, Josif A. |
| Pubbl/distr/stampa | Cham, : Springer, 2016 |
| Descrizione fisica | xx, 201 p. ; 24 cm |
| Soggetto topico |
68W40 - Analysis of algorithms [MSC 2020]
37Mxx - Approximation methods and numerical treatment of dynamical systems [MSC 2020] 93E11 - Filtering in stochastic control theory [MSC 2020] 93E10 - Estimation and detection in stochastic control theory [MSC 2020] 93-XX - Systems theory; control [MSC 2020] 65L09 - Numerical methods of inverse problems involving ordinary differential equations [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] |
| Soggetto non controllato |
Aerospatial Dynamics
Asset pricing Biological Sequence Analysis Hidden Markov Model Inverse Problems Parameter Estimation Polynomial Approximation Speech Recognition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0162131 |
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Boguslavskiy, Josif A.
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| Cham, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Introduction to time series and forecasting / Peter J. Brockwell, Richard A. Davis
| Introduction to time series and forecasting / Peter J. Brockwell, Richard A. Davis |
| Autore | Brockwell, Peter J. |
| Edizione | [3. ed] |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XIV, 425 p. : ill. ; 24 cm |
| Altri autori (Persone) | Davis, Richard A. |
| Soggetto topico |
60J65 - Brownian motion [MSC 2020]
62-XX - Statistics [MSC 2020] 62H05 - Characterization and structure theory for multivariate probability distributions; copulas [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62M15 - Inference from stochastic processes and spectral analysis [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 62P35 - Applications of statistics to physics [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 60G25 - Prediction theory (aspects of stochastic processes) [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114899 |
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Brockwell, Peter J.
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Introduction to time series and forecasting / Peter J. Brockwell, Richard A. Davis
| Introduction to time series and forecasting / Peter J. Brockwell, Richard A. Davis |
| Autore | Brockwell, Peter J. |
| Edizione | [3. ed] |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XIV, 425 p. : ill. ; 24 cm |
| Altri autori (Persone) | Davis, Richard A. |
| Soggetto topico |
60J65 - Brownian motion [MSC 2020]
62-XX - Statistics [MSC 2020] 62H05 - Characterization and structure theory for multivariate probability distributions; copulas [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62M15 - Inference from stochastic processes and spectral analysis [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 62P35 - Applications of statistics to physics [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 60G25 - Prediction theory (aspects of stochastic processes) [MSC 2020] |
| Soggetto non controllato |
Financial Time Series
Forecasting Forecasting techniques ITSM2000 Multivariate time series Spectral Analysis State-space models Stationary processes Univariate time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114899 |
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Brockwell, Peter J.
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Introduction to turbulent dynamical systems in complex systems / Andrew J. Majda
| Introduction to turbulent dynamical systems in complex systems / Andrew J. Majda |
| Autore | Majda, Andrew J. |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XI, 91 p. : ill. ; 24 cm |
| Soggetto topico |
82C31 - Stochastic methods (Fokker-Planck, Langevin, etc.) applied to problems in time-dependent statistical mechanics [MSC 2020]
37A60 - Dynamical aspects of statistical mechanics [MSC 2020] 86A22 - Inverse problems in geophysics [MSC 2020] 86-XX - Geophysics [MSC 2020] 82Cxx - Time-dependent statistical mechanics (dynamic and nonequilibrium) [MSC 2020] 86A10 - Meteorology and atmospheric physics [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 76F55 - Statistical turbulence modeling [MSC 2020] |
| Soggetto non controllato |
Applied Mathematics
Climate and atmospheric sciences Complex Systems Data assimilation, filtering Dynamical systems Fluid- and aerodynamics Geoscience enginering |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114900 |
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Majda, Andrew J.
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Introduction to turbulent dynamical systems in complex systems / Andrew J. Majda
| Introduction to turbulent dynamical systems in complex systems / Andrew J. Majda |
| Autore | Majda, Andrew J. |
| Edizione | [[Cham] : Springer, 2016] |
| Pubbl/distr/stampa | XI, 91 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
82C31 - Stochastic methods (Fokker-Planck, Langevin, etc.) applied to problems in time-dependent statistical mechanics [MSC 2020]
37A60 - Dynamical aspects of statistical mechanics [MSC 2020] 86A22 - Inverse problems in geophysics [MSC 2020] 86-XX - Geophysics [MSC 2020] 82Cxx - Time-dependent statistical mechanics (dynamic and nonequilibrium) [MSC 2020] 86A10 - Meteorology and atmospheric physics [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 76F55 - Statistical turbulence modeling [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114900 |
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Majda, Andrew J.
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| XI, 91 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Lectures on Prediction Theory : Delivered at the University Erlangen-Nürnberg 1966 / K. Urbanik
| Lectures on Prediction Theory : Delivered at the University Erlangen-Nürnberg 1966 / K. Urbanik |
| Autore | Urbanik, Kazimierz |
| Pubbl/distr/stampa | Berlin, : Springer, 1967 |
| Descrizione fisica | vi, 58 p. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
60G10 - Stationary stochastic processes [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 60G25 - Prediction theory (aspects of stochastic processes) [MSC 2020] |
| Soggetto non controllato | Probability Theory |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0254588 |
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Urbanik, Kazimierz
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| Berlin, : Springer, 1967 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Longitudinal Data Analysis : Autoregressive Linear Mixed Effects Models / Ikuko Funatogawa, Takashi Funatogawa
| Longitudinal Data Analysis : Autoregressive Linear Mixed Effects Models / Ikuko Funatogawa, Takashi Funatogawa |
| Autore | Funatogawa, Ikuko |
| Pubbl/distr/stampa | Singapore, : Springer, 2018 |
| Descrizione fisica | x, 141 p. : ill. ; 24 cm |
| Altri autori (Persone) | Funatogawa, Takashi |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] |
| Soggetto non controllato |
Autoregressive
Dynamic Longitudinal Mixed Effects State Space |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0125152 |
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Funatogawa, Ikuko
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| Singapore, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Longitudinal Data Analysis : Autoregressive Linear Mixed Effects Models / Ikuko Funatogawa, Takashi Funatogawa
| Longitudinal Data Analysis : Autoregressive Linear Mixed Effects Models / Ikuko Funatogawa, Takashi Funatogawa |
| Autore | Funatogawa, Ikuko |
| Edizione | [Singapore : Springer, 2018] |
| Pubbl/distr/stampa | x, 141 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Funatogawa, Takashi |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0125152 |
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Funatogawa, Ikuko
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| x, 141 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Soggetto topico
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62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020]
(25)
- 62-XX - Statistics [MSC 2020] (17)
- 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] (17)
- 62M15 - Inference from stochastic processes and spectral analysis [MSC 2020] (6)
- 62P20 - Applications of statistics to economics [MSC 2020] (5)