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Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen
| Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen |
| Autore | Christensen, Ronald |
| Edizione | [3. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xxiii, 608 p. : ill. ; 24 cm |
| Soggetto topico |
62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62K20 - Response surface designs [MSC 2020] |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0126672 |
Christensen, Ronald
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen
| Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen |
| Autore | Christensen, Ronald |
| Edizione | [3. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xxiii, 608 p. : ill. ; 24 cm |
| Soggetto topico |
62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62K20 - Response surface designs [MSC 2020] |
| Soggetto non controllato |
ANOVA
Data analysis Excel Factor analysis Heteroscedasticity Mathematical statistics Mixed models Multivariate models Statistica Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126672 |
|
Christensen, Ronald
|
||
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen
| Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen |
| Autore | Christensen, Ronald |
| Edizione | [3. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xxiii, 608 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G08 - Nonparametric regression and quantile regression [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62K20 - Response surface designs [MSC 2020] 62Mxx - Inference from stochastic processes [MSC 2020] |
| Soggetto non controllato |
ANOVA
Data analysis Excel Factor analysis Heteroscedasticity Mathematical statistics Mixed models Multivariate models Statistica Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00126672 |
|
Christensen, Ronald
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||
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors
| Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | ix, 207 p. : ill. ; 24 cm |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
62Mxx - Inference from stochastic processes [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] |
| Soggetto non controllato |
Analytical methods
Asymptotic analysis Bootstrap Estimation and hypothesis testing Fisher information Heavy tails Long-memory processes Minimization of divergence Probability distribution Quantile regression Regression Resampling Shape constrains Statistical inference Stochastic processes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123903 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors
| Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | ix, 207 p. : ill. ; 24 cm |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62Mxx - Inference from stochastic processes [MSC 2020] |
| Soggetto non controllato |
Analytical methods
Asymptotic analysis Bootstrap Estimation and hypothesis testing Fisher information Heavy tails Long-memory processes Minimization of divergence Probability distribution Quantile regression Regression Resampling Shape constrains Statistical inference Stochastic processes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123903 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors
| Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors |
| Edizione | [Cham : Springer, 2017] |
| Pubbl/distr/stampa | ix, 207 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
62Mxx - Inference from stochastic processes [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0123903 |
| ix, 207 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors
| Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xi, 184 p. : ill. ; 24 cm |
| Soggetto topico |
62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62Cxx - Statistical decision theory [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62Fxx - Parametric inference [MSC 2020] |
| Soggetto non controllato |
Applications
Bayesian Inference Bayesian Modeling Bayesian computation Computational problems in statistics Data science Inference from stochastic processes Methodological and Applied Statistics Multivariate Analysis Neurosciences, astrostatistics, climate change Nonparametric inference Parametric inference Young researchers |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126746 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors
| Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xi, 184 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62Mxx - Inference from stochastic processes [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
| Soggetto non controllato |
Applications
Bayesian Inference Bayesian Modeling Bayesian computation Computational problems in statistics Data science Inference from stochastic processes Methodological and Applied Statistics Multivariate Analysis Neurosciences, astrostatistics, climate change Nonparametric inference Parametric inference Young researchers |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00126746 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors
| Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors |
| Edizione | [Cham : Springer, 2019] |
| Pubbl/distr/stampa | xi, 184 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62Cxx - Statistical decision theory [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62Fxx - Parametric inference [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0126746 |
| xi, 184 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Elements of nonlinear time series analysis and forecasting / Jan G. De Gooijer
| Elements of nonlinear time series analysis and forecasting / Jan G. De Gooijer |
| Autore | De Gooijer, Jan |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | XXI, 618 p. : ill. ; 24 cm |
| Soggetto topico |
62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] |
| Soggetto non controllato |
AR-GARCH model
ARMA model Frequency domain tests High dimensional tests Model selection Nonlinear time series Nonparametric forecasting Tests for serial independence Time-domain linearity test |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123399 |
|
De Gooijer, Jan
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
