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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 |
| Author | Brockwell, Peter J. |
| Designation of edition | [3. ed] |
| Publication | [Cham], : Springer, 2016 |
| Physical description | XIV, 425 p. : ill. ; 24 cm |
| Other authors (Person) | Davis, Richard A. |
| Topical subject |
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] |
| Uncontrolled subject |
Financial Time Series
Forecasting Forecasting techniques ITSM2000 Multivariate time series Spectral Analysis State-space models Stationary processes Univariate time series |
| Format | Language material  |
| Bibliographic level | Monograph |
| Language | eng |
| Uniform title | |
| Record Nr. | UNICAMPANIA-VAN0114899 |
Brockwell, Peter J.
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| [Cham], : Springer, 2016 | ||
| Language material | ||
| You will find it: Univ. Vanvitelli | ||
| ||
Introduction to time series and forecasting / Peter J. Brockwell, Richard A. Davis
| Introduction to time series and forecasting / Peter J. Brockwell, Richard A. Davis |
| Author | Brockwell, Peter J. |
| Designation of edition | [3. ed] |
| Publication | [Cham], : Springer, 2016 |
| Physical description | XIV, 425 p. : ill. ; 24 cm |
| Other authors (Person) | Davis, Richard A. |
| Topical subject |
60G25 - Prediction theory (aspects of stochastic processes) [MSC 2020]
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] 62M15 - Inference from stochastic processes and spectral analysis [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] 62P35 - Applications of statistics to physics [MSC 2020] |
| Uncontrolled subject |
Financial Time Series
Forecasting Forecasting techniques ITSM2000 Multivariate time series Spectral Analysis State-space models Stationary processes Univariate time series |
| Format | Language material |
| Bibliographic level | Monograph |
| Language | eng |
| Uniform title | |
| Record Nr. | UNICAMPANIA-VAN00114899 |
|
Brockwell, Peter J.
|
||
| [Cham], : Springer, 2016 | ||
| Language material | ||
| You will find it: Univ. Vanvitelli | ||
| ||
Introduction to time series and forecasting / Peter J. Brockwell, Richard A. Davis
| Introduction to time series and forecasting / Peter J. Brockwell, Richard A. Davis |
| Author | Brockwell, Peter J. |
| Publication | New York, : Springer, 2016 |
| Physical description | xiii, 420 p. : ill. ; 24 cm |
| Other authors (Person) | Davis, Richard A. |
| Topical subject |
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] |
| Uncontrolled subject |
Financial Time Series
Forecasting Forecasting techniques ITSM2000 Multivariate time series Spectral Analysis State-space models Stationary processes Univariate time series |
| Format | Language material |
| Bibliographic level | Monograph |
| Language | eng |
| Uniform title | |
| Record Nr. | UNICAMPANIA-VAN00296813 |
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Brockwell, Peter J.
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| New York, : Springer, 2016 | ||
| Language material | ||
| You will find it: Univ. Vanvitelli | ||
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Linear Time Series with MATLAB and OCTAVE / Víctor Gómez
| Linear Time Series with MATLAB and OCTAVE / Víctor Gómez |
| Author | Gómez, Víctor |
| Publication | Cham, : Springer, 2019 |
| Physical description | xvii, 339 p. : ill. ; 24 cm |
| Topical subject |
62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Uncontrolled subject |
Kalman Filter
Linear time series MATLAB Model estimation Multivariate time series OCTAVE platform Package SSMMATLAB Signal extraction State-space models Univariate time series VARMA and ARIMA models VARMAX and transfer function models |
| Format | Language material |
| Bibliographic level | Monograph |
| Language | eng |
| Uniform title | |
| Record Nr. | UNICAMPANIA-VAN0126972 |
|
Gómez, Víctor
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||
| Cham, : Springer, 2019 | ||
| Language material | ||
| You will find it: Univ. Vanvitelli | ||
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Linear Time Series with MATLAB and OCTAVE / Víctor Gómez
| Linear Time Series with MATLAB and OCTAVE / Víctor Gómez |
| Author | Gómez, Víctor |
| Publication | Cham, : Springer, 2019 |
| Physical description | xvii, 339 p. : ill. ; 24 cm |
| Topical subject |
62-XX - Statistics [MSC 2020]
62Jxx - Linear inference, regression [MSC 2020] 62Mxx - Inference from stochastic processes [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Uncontrolled subject |
Kalman Filter
Linear time series MATLAB Model estimation Multivariate time series OCTAVE platform Package SSMMATLAB Signal extraction State-space models Univariate time series VARMA and ARIMA models VARMAX and transfer function models |
| Format | Language material |
| Bibliographic level | Monograph |
| Language | eng |
| Uniform title | |
| Record Nr. | UNICAMPANIA-VAN00126972 |
|
Gómez, Víctor
|
||
| Cham, : Springer, 2019 | ||
| Language material | ||
| You will find it: Univ. Vanvitelli | ||
| ||
Mixture and Hidden Markov Models with R / Ingmar Visser, Maarten Speekenbrink
| Mixture and Hidden Markov Models with R / Ingmar Visser, Maarten Speekenbrink |
| Author | Visser, Ingmar |
| Publication | Cham, : Springer, 2022 |
| Physical description | xvi, 267 p. : ill. ; 24 cm |
| Other authors (Person) | Speekenbrink, Maarten |
| Topical subject |
62-XX - Statistics [MSC 2020]
62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 62Rxx - Statistics on algebraic and topological structures [MSC 2020] |
| Uncontrolled subject |
Hidden Markov models
Latent class models Maximum likelihood estimation Mixture models Multivariate Multivariate time series R Programming Statistical Theory Time series Univariate Univariate time series |
| Format | Language material |
| Bibliographic level | Monograph |
| Language | eng |
| Record Nr. | UNICAMPANIA-VAN0277950 |
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Visser, Ingmar
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| Cham, : Springer, 2022 | ||
| Language material | ||
| You will find it: Univ. Vanvitelli | ||
| ||
Mixture and Hidden Markov Models with R / Ingmar Visser, Maarten Speekenbrink
| Mixture and Hidden Markov Models with R / Ingmar Visser, Maarten Speekenbrink |
| Author | Visser, Ingmar |
| Publication | Cham, : Springer, 2022 |
| Physical description | xvi, 267 p. : ill. ; 24 cm |
| Other authors (Person) | Speekenbrink, Maarten |
| Topical subject |
62-XX - Statistics [MSC 2020]
62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 62Rxx - Statistics on algebraic and topological structures [MSC 2020] |
| Uncontrolled subject |
Hidden Markov models
Latent class models Maximum likelihood estimation Mixture models Multivariate Multivariate time series R Programming Statistical Theory Time series Univariate Univariate time series |
| Format | Language material |
| Bibliographic level | Monograph |
| Language | eng |
| Record Nr. | UNICAMPANIA-VAN00277950 |
|
Visser, Ingmar
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||
| Cham, : Springer, 2022 | ||
| Language material | ||
| You will find it: Univ. Vanvitelli | ||
| ||