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Advanced Statistics for the Behavioral Sciences : A Computational Approach with R / Jonathon D. Brown
Advanced Statistics for the Behavioral Sciences : A Computational Approach with R / Jonathon D. Brown
Autore Brown, Jonathon D.
Pubbl/distr/stampa Cham, : Springer, 2018
Descrizione fisica xxi, 526 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62P25 - Applications of statistics to social sciences [MSC 2020]
Soggetto non controllato Generalized Linear Models
Mixed modeling
Nonlinear regression
Statistical analysis
Statistics for behavioral sciences
Structural Equation Modeling
Time Series Analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0124526
Brown, Jonathon D.  
Cham, : Springer, 2018
Materiale a stampa
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Advanced Statistics for the Behavioral Sciences : A Computational Approach with R / Jonathon D. Brown
Advanced Statistics for the Behavioral Sciences : A Computational Approach with R / Jonathon D. Brown
Autore Brown, Jonathon D.
Pubbl/distr/stampa Cham, : Springer, 2018
Descrizione fisica xxi, 526 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62P25 - Applications of statistics to social sciences [MSC 2020]
Soggetto non controllato Generalized Linear Models
Mixed modeling
Nonlinear regression
Statistical Analysis
Statistics for behavioral sciences
Structural Equation Modeling
Time Series Analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00124526
Brown, Jonathon D.  
Cham, : Springer, 2018
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Advances in nonlinear dynamics and control of mechanical and physical systems : selected articles from CSNDD 2023; 15–17 May ; Marrakesh, Morocco / Mohamed Belhaq editor
Advances in nonlinear dynamics and control of mechanical and physical systems : selected articles from CSNDD 2023; 15–17 May ; Marrakesh, Morocco / Mohamed Belhaq editor
Autore Conference on Structural Nonlinear Dynamics and Diagnosis : 5. : 2023
Pubbl/distr/stampa Singapore, : Springer, 2024
Descrizione fisica xiv, 279 p. : ill. ; 24 cm
Soggetto topico 37N15 - Dynamical systems in solid mechanics [MSC 2020]
74-XX - Mechanics of deformable solids [MSC 2020]
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
37N05 - Dynamical systems in classical and celestial mechanics [MSC 2020]
Soggetto non controllato Atomic Force Microscopy
Energy Harvesting
Multiple scales dynamics
Nonlinear Systems
Nonlinear vibrations
Nonlinear waves
Partial Differential Equations
Quasi-Periodic Oscillations
Stochastic Dynamics
Structural Health Monitoring
Time Series Analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00301689
Conference on Structural Nonlinear Dynamics and Diagnosis : 5. : 2023  
Singapore, : Springer, 2024
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Advances in time series analysis and forecasting : selected contributions from ITISE 2016 / Ignacio Rojas, Héctor Pomares, Olga Valenzuela editors
Advances in time series analysis and forecasting : selected contributions from ITISE 2016 / Ignacio Rojas, Héctor Pomares, Olga Valenzuela editors
Pubbl/distr/stampa Cham, : Springer, 2017
Descrizione fisica XV, 414 p. : ill. ; 24 cm
Soggetto topico 68-XX - Computer science [MSC 2020]
58-XX - Global analysis, analysis on manifolds [MSC 2020]
37-XX - Dynamical systems and ergodic theory [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020]
Soggetto non controllato Advanced methods in time series
Big Data
Complex data
Forecasting
Forecasting in real problems
High-Dimensional Data
Irregularly sampled time series
Linear and non-linear time series
Multi-scale analysis of time series
On-line learning in time series
Time Series Analysis
Time series forecasting
Univariate and multivariate time series
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0123361
Cham, : Springer, 2017
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Advances in time series analysis and forecasting : selected contributions from ITISE 2016 / Ignacio Rojas, Héctor Pomares, Olga Valenzuela editors
Advances in time series analysis and forecasting : selected contributions from ITISE 2016 / Ignacio Rojas, Héctor Pomares, Olga Valenzuela editors
Pubbl/distr/stampa Cham, : Springer, 2017
Descrizione fisica 1 testo elettronico (XV, 414 p. : ill.)
Soggetto topico 37-XX - Dynamical systems and ergodic theory [MSC 2020]
58-XX - Global analysis, analysis on manifolds [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020]
68-XX - Computer science [MSC 2020]
Soggetto non controllato Advanced Methods in Time Series
Big Data
Complex data
Forecasting
Forecasting in real problems
High-Dimensional Data
Irregularly sampled time series
Linear and non-linear time series
Multi-scale analysis of time series
On-line learning in time series
Time Series Analysis
Time series forecasting
Univariate and multivariate time series
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00123361
Cham, : Springer, 2017
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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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  
New York, : Springer-Verlag, 1984
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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 Fits
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
Nota di contenuto The theory of time series models has been well developed over the last thirt,y years. Both the frequenc.y domain and time domain approaches have been widely used in the analysis of linear time series models. However. many physical phenomena cannot be adequately represented by linear models; hence the necessity of nonlinear models and higher order spectra. Recently a number of nonlinear models have been proposed. In this monograph we restrict attention to one particular nonlinear model. known as the "bilinear model". The most interesting feature of such a model is that its second order covariance analysis is ve~ similar to that for a linear model. This demonstrates the importance of higher order covariance analysis for nonlinear models. For bilinear models it is also possible to obtain analytic expressions for covariances. spectra. etc. which are often difficult to obtain for other proposed nonlinear models. Estimation of bispectrum and its use in the construction of tests for linearit,y and symmetry are also discussed. All the methods are illustrated with simulated and real data. The first author would like to acknowledge the benefit he received in the preparation of this monograph from delivering a series of lectures on the topic of bilinear models at the University of Bielefeld. Ecole Normale Superieure. University of Paris (South) and the Mathematisch Cen trum. Ams terdam.
Record Nr. UNICAMPANIA-VAN00268639
Rao, Tata Subba  
New York, : Springer-Verlag, 1984
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems : Using the Methods of Stochastic Processes / M. Reza Rahimi Tabar
Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems : Using the Methods of Stochastic Processes / M. Reza Rahimi Tabar
Autore Rahimi Tabar, M. Reza
Pubbl/distr/stampa Cham, : Springer, 2019
Descrizione fisica xviii, 280 p. : ill. ; 24 cm
Soggetto topico 60-XX - Probability theory and stochastic processes [MSC 2020]
37M10 - Time series analysis of dynamical systems [MSC 2020]
Soggetto non controllato Complexity
Diffusive Stochastic Behavior
Discontinuous Stochastic Processes
Dynamics of Optically Trapped Particles
From Time Series to Dynamical Equation
Jump-Diffusion Dynamics
Jump-Diffusion Processes
Jumpy Stochastic Behavior
Langevin Dynamics
Modeling complex dynamical systems
Modeling epileptic Brain Dynamics
Physics of stochastic processes
Time Series Analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0214490
Rahimi Tabar, M. Reza  
Cham, : Springer, 2019
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems : Using the Methods of Stochastic Processes / M. Reza Rahimi Tabar
Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems : Using the Methods of Stochastic Processes / M. Reza Rahimi Tabar
Autore Rahimi Tabar, Mohammad R.
Pubbl/distr/stampa Cham, : Springer, 2019
Descrizione fisica xviii, 280 p. : ill. ; 24 cm
Soggetto topico 37M10 - Time series analysis of dynamical systems [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020]
Soggetto non controllato Complexity
Diffusive Stochastic Behavior
Discontinuous Stochastic Processes
Dynamics of Optically Trapped Particles
From Time Series to Dynamical Equation
Jump-Diffusion Dynamics
Jump-Diffusion Processes
Jumpy Stochastic Behavior
Langevin Dynamics
Modeling complex dynamical systems
Modeling epileptic Brain Dynamics
Physics of stochastic processes
Time Series Analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00214490
Rahimi Tabar, Mohammad R.  
Cham, : Springer, 2019
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Applied data-centric social sciences : concepts, data, computation, and theory / Aki-Hiro Sato
Applied data-centric social sciences : concepts, data, computation, and theory / Aki-Hiro Sato
Autore Sato, Aki-Hiro
Pubbl/distr/stampa Tokyo, : Springer, 2014
Descrizione fisica XXIII, 281 p. : ill. ; 24 cm
Soggetto topico 91Cxx - Social and behavioral sciences: general topics [MSC 2020]
91B82 - Statistical methods; economic indices and measures [MSC 2020]
62P25 - Applications of statistics to social sciences [MSC 2020]
91Dxx - Mathematical sociology (including anthropology) [MSC 2020]
Soggetto non controllato Data curation
Extreme events analysis
Geographical data analysis
Statistical inference
Time Series Analysis
ISBN 978-44-315-4974-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0104311
Sato, Aki-Hiro  
Tokyo, : Springer, 2014
Materiale a stampa
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