Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Identifiability of state space models : with applications to transformation systems / Eric Walter
| Identifiability of state space models : with applications to transformation systems / Eric Walter |
| Autore | Walter, Eric |
| Pubbl/distr/stampa | Berlin : Springer-Verlag, 1982 |
| Descrizione fisica | viii, 202 p. : ill. ; 25 cm |
| Disciplina | 515 |
| Collana | Lecture notes in biomathematics, 0341-633X ; 46 |
| Soggetto topico |
Biomathematics
Inverse problems State-space methods System identification |
| ISBN | 3540115900 |
| Classificazione | AMS 93B30 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991000989929707536 |
Walter, Eric
|
||
| Berlin : Springer-Verlag, 1982 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
| ||
An introduction to state space time series analysis [[electronic resource] /] / Jacques J.F. Commandeur, Siem Jan Koopman
| An introduction to state space time series analysis [[electronic resource] /] / Jacques J.F. Commandeur, Siem Jan Koopman |
| Autore | Commandeur Jacques J. F |
| Pubbl/distr/stampa | Oxford, : Oxford University Press, 2007 |
| Descrizione fisica | 1 online resource (189 p.) |
| Disciplina | 519.55 |
| Altri autori (Persone) | KoopmanS. J (Siem Jan) |
| Collana | Practical econometrics series |
| Soggetto topico |
State-space methods
Time-series analysis |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-15017-7
9786611150174 0-19-152794-7 1-4356-1809-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; List of Figures; List of Tables; 1. Introduction; 2. The local level model; 3. The local linear trend model; 4. The local level model with seasonal; 5. The local level model with explanatory variable; 6. The local level model with intervention variable; 7. The UK seat belt and inflation models; 8. General treatment of univariate state space models; 9. Multivariate time series analysis*; 10. State space and Box-Jenkins methods for time series analysis; 11. State space modelling in practice; 12. Conclusions; APPENDIX A. UK drivers KSI and petrol price
APPENDIX B. Road traffic fatalities in Norway and FinlandAPPENDIX C. UK front and rear seat passengers KSI; APPENDIX D. UK price changes; Bibliography; Index |
| Record Nr. | UNINA-9910451915103321 |
|
Commandeur Jacques J. F
|
||
| Oxford, : Oxford University Press, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
An introduction to state space time series analysis [[electronic resource] /] / Jacques J.F. Commandeur, Siem Jan Koopman
| An introduction to state space time series analysis [[electronic resource] /] / Jacques J.F. Commandeur, Siem Jan Koopman |
| Autore | Commandeur Jacques J. F |
| Pubbl/distr/stampa | Oxford, : Oxford University Press, 2007 |
| Descrizione fisica | 1 online resource (189 p.) |
| Disciplina | 519.55 |
| Altri autori (Persone) | KoopmanS. J (Siem Jan) |
| Collana | Practical econometrics series |
| Soggetto topico |
State-space methods
Time-series analysis |
| ISBN |
0-19-160780-0
1-281-15017-7 9786611150174 0-19-152794-7 1-4356-1809-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; List of Figures; List of Tables; 1. Introduction; 2. The local level model; 3. The local linear trend model; 4. The local level model with seasonal; 5. The local level model with explanatory variable; 6. The local level model with intervention variable; 7. The UK seat belt and inflation models; 8. General treatment of univariate state space models; 9. Multivariate time series analysis*; 10. State space and Box-Jenkins methods for time series analysis; 11. State space modelling in practice; 12. Conclusions; APPENDIX A. UK drivers KSI and petrol price
APPENDIX B. Road traffic fatalities in Norway and FinlandAPPENDIX C. UK front and rear seat passengers KSI; APPENDIX D. UK price changes; Bibliography; Index |
| Record Nr. | UNINA-9910778345803321 |
|
Commandeur Jacques J. F
|
||
| Oxford, : Oxford University Press, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
An introduction to state space time series analysis [[electronic resource] /] / Jacques J.F. Commandeur, Siem Jan Koopman
| An introduction to state space time series analysis [[electronic resource] /] / Jacques J.F. Commandeur, Siem Jan Koopman |
| Autore | Commandeur Jacques J. F |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Oxford, : Oxford University Press, 2007 |
| Descrizione fisica | 1 online resource (189 p.) |
| Disciplina | 519.55 |
| Altri autori (Persone) | KoopmanS. J (Siem Jan) |
| Collana | Practical econometrics series |
| Soggetto topico |
State-space methods
Time-series analysis |
| ISBN |
0-19-160780-0
1-281-15017-7 9786611150174 0-19-152794-7 1-4356-1809-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; List of Figures; List of Tables; 1. Introduction; 2. The local level model; 3. The local linear trend model; 4. The local level model with seasonal; 5. The local level model with explanatory variable; 6. The local level model with intervention variable; 7. The UK seat belt and inflation models; 8. General treatment of univariate state space models; 9. Multivariate time series analysis*; 10. State space and Box-Jenkins methods for time series analysis; 11. State space modelling in practice; 12. Conclusions; APPENDIX A. UK drivers KSI and petrol price
APPENDIX B. Road traffic fatalities in Norway and FinlandAPPENDIX C. UK front and rear seat passengers KSI; APPENDIX D. UK price changes; Bibliography; Index |
| Record Nr. | UNINA-9910828604003321 |
|
Commandeur Jacques J. F
|
||
| Oxford, : Oxford University Press, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Linear state-space control systems
| Linear state-space control systems |
| Autore | Williams Robert L |
| Pubbl/distr/stampa | [Place of publication not identified], : John Wiley & Sons, 2007 |
| Disciplina | 629.8/32 |
| Soggetto topico |
Linear systems
State-space methods Control theory Operations Research Civil & Environmental Engineering Engineering & Applied Sciences |
| ISBN | 0-470-11787-7 |
| Classificazione | 30.10 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910144584603321 |
|
Williams Robert L
|
||
| [Place of publication not identified], : John Wiley & Sons, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Linear state-space control systems
| Linear state-space control systems |
| Autore | Williams Robert L |
| Pubbl/distr/stampa | [Place of publication not identified], : John Wiley & Sons, 2007 |
| Disciplina | 629.8/32 |
| Soggetto topico |
Linear systems
State-space methods Control theory Operations Research Civil & Environmental Engineering Engineering & Applied Sciences |
| ISBN | 0-470-11787-7 |
| Classificazione | 30.10 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910830150803321 |
|
Williams Robert L
|
||
| [Place of publication not identified], : John Wiley & Sons, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Linear state-space control systems
| Linear state-space control systems |
| Autore | Williams Robert L |
| Pubbl/distr/stampa | [Place of publication not identified], : John Wiley & Sons, 2007 |
| Disciplina | 629.8/32 |
| Soggetto topico |
Linear systems
State-space methods Control theory Operations Research Civil & Environmental Engineering Engineering & Applied Sciences |
| ISBN | 0-470-11787-7 |
| Classificazione | 30.10 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910841729603321 |
|
Williams Robert L
|
||
| [Place of publication not identified], : John Wiley & Sons, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Nonlinear dynamics in physiology [[electronic resource] ] : a state-space approach / / Mark Shelhamer
| Nonlinear dynamics in physiology [[electronic resource] ] : a state-space approach / / Mark Shelhamer |
| Autore | Shelhamer Mark |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, c2007 |
| Descrizione fisica | 1 online resource (367 p.) |
| Disciplina |
515.252
571.01/5118 571.015118 |
| Soggetto topico |
Physiology - Mathematical models
Nonlinear systems State-space methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-92446-6
9786611924461 981-277-279-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; 1. The mathematical analysis of physiological systems: goals and approaches; 1.1 The goals of mathematical analysis in physiology; 1.2 Outline of dynamic systems; 1.3 Types of dynamic systems - random, deterministic, linear, nonlinear; 1.4 Types of dynamic behaviors - random, fixed point, periodic, quasi-periodic, chaotic; 1.5 Follow the ""noise""; 1.6 Chaos and physiology; General Bibliography; References for Chapter 1; 2. Fundamental signal processing and analysis concepts and measures; 2.1 Sampled data and continuous distributions; 2.2 Basic statistics
2.3 Correlation coefficient2.4 Linear regression, least-squares, squared-error; 2.5 Random processes, white noise, correlated noise; 2.6 Autocorrelation; 2.7 Concluding remarks; References for Chapter 2; 3. Analysis approaches based on linear systems; 3.1 Definition and properties of linear systems; 3.2 Autocorrelation, cross-correlation, stationarity; 3.3 Fourier transforms and spectral analysis; 3.4 Examples of autocorrelations and frequency spectra; 3.5 Transfer functions of linear systems, Gaussian statistics; References for Chapter 3; 4. State-space reconstruction 4.1 State variables, state space4.2 Time-delay reconstruction; 4.3 A digression on topology; 4.4 How to do the reconstruction correctly; 4.5 Example: detection of fast-phase eye movements; 4.6 Historical notes, examples from the literature; 4.7 Points for further consideration; References for Chapter 4; 5. Dimensions; 5.1 Euclidean dimension and topological dimension; 5.2 Dimension as a scaling process - coastline length, Mandelbrot, fractals, Cantor, Koch; 5.3 Box-counting dimension and correlation dimension; 5.4 Correlation dimension - how to measure it correctly 5.5 Error bars on dimension estimates5.6 Interpretation of the dimension; 5.7 Tracking dimension overtime; 5.8 Examples; 5.9 Points for further consideration; References for Chapter 5; 6. Surrogate data; 6.1 The need for surrogates; 6.2 Statistical hypothesis testing; 6.3 Statistical randomization and its implementation; 6.4 Random surrogates; 6.5 Phase-randomization surrogate; 6.6 AAFT surrogate; 6.7 Pseudo-periodic surrogate; 6.8 First differences and surrogates; 6.9 Multivariate surrogates; 6.10 Surrogates tailored to specific physiological hypotheses; 6.11 Examples of different surrogates 6.12 Physiological examplesReferences for Chapter 6; 7. Nonlinear forecasting; 7.1 Predictability of prototypical systems; 7.2 Methodology; 7.3 Variations; 7.4 Surrogates, global linear forecasting; 7.5 Time-reversal and amplitude-reversal for detection of nonlinearity; 7.6 Chaos versus colored noise; 7.7 Forecasting of neural spike trains and other discrete events; 7.8 Examples; References for Chapter 7; 8. Recurrence analysis; 8.1 Concept and methodology; 8.2 Recurrence plots of simple systems; 8.3 Recurrence quantification analysis (RQA); 8.4 Extensions; 8.5 Examples References for Chapter 8 |
| Record Nr. | UNINA-9910453180103321 |
|
Shelhamer Mark
|
||
| Singapore ; ; Hackensack, NJ, : World Scientific, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Nonlinear dynamics in physiology [[electronic resource] ] : a state-space approach / / Mark Shelhamer
| Nonlinear dynamics in physiology [[electronic resource] ] : a state-space approach / / Mark Shelhamer |
| Autore | Shelhamer Mark |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, c2007 |
| Descrizione fisica | 1 online resource (367 p.) |
| Disciplina |
515.252
571.01/5118 571.015118 |
| Soggetto topico |
Physiology - Mathematical models
Nonlinear systems State-space methods |
| ISBN |
1-281-92446-6
9786611924461 981-277-279-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; 1. The mathematical analysis of physiological systems: goals and approaches; 1.1 The goals of mathematical analysis in physiology; 1.2 Outline of dynamic systems; 1.3 Types of dynamic systems - random, deterministic, linear, nonlinear; 1.4 Types of dynamic behaviors - random, fixed point, periodic, quasi-periodic, chaotic; 1.5 Follow the ""noise""; 1.6 Chaos and physiology; General Bibliography; References for Chapter 1; 2. Fundamental signal processing and analysis concepts and measures; 2.1 Sampled data and continuous distributions; 2.2 Basic statistics
2.3 Correlation coefficient2.4 Linear regression, least-squares, squared-error; 2.5 Random processes, white noise, correlated noise; 2.6 Autocorrelation; 2.7 Concluding remarks; References for Chapter 2; 3. Analysis approaches based on linear systems; 3.1 Definition and properties of linear systems; 3.2 Autocorrelation, cross-correlation, stationarity; 3.3 Fourier transforms and spectral analysis; 3.4 Examples of autocorrelations and frequency spectra; 3.5 Transfer functions of linear systems, Gaussian statistics; References for Chapter 3; 4. State-space reconstruction 4.1 State variables, state space4.2 Time-delay reconstruction; 4.3 A digression on topology; 4.4 How to do the reconstruction correctly; 4.5 Example: detection of fast-phase eye movements; 4.6 Historical notes, examples from the literature; 4.7 Points for further consideration; References for Chapter 4; 5. Dimensions; 5.1 Euclidean dimension and topological dimension; 5.2 Dimension as a scaling process - coastline length, Mandelbrot, fractals, Cantor, Koch; 5.3 Box-counting dimension and correlation dimension; 5.4 Correlation dimension - how to measure it correctly 5.5 Error bars on dimension estimates5.6 Interpretation of the dimension; 5.7 Tracking dimension overtime; 5.8 Examples; 5.9 Points for further consideration; References for Chapter 5; 6. Surrogate data; 6.1 The need for surrogates; 6.2 Statistical hypothesis testing; 6.3 Statistical randomization and its implementation; 6.4 Random surrogates; 6.5 Phase-randomization surrogate; 6.6 AAFT surrogate; 6.7 Pseudo-periodic surrogate; 6.8 First differences and surrogates; 6.9 Multivariate surrogates; 6.10 Surrogates tailored to specific physiological hypotheses; 6.11 Examples of different surrogates 6.12 Physiological examplesReferences for Chapter 6; 7. Nonlinear forecasting; 7.1 Predictability of prototypical systems; 7.2 Methodology; 7.3 Variations; 7.4 Surrogates, global linear forecasting; 7.5 Time-reversal and amplitude-reversal for detection of nonlinearity; 7.6 Chaos versus colored noise; 7.7 Forecasting of neural spike trains and other discrete events; 7.8 Examples; References for Chapter 7; 8. Recurrence analysis; 8.1 Concept and methodology; 8.2 Recurrence plots of simple systems; 8.3 Recurrence quantification analysis (RQA); 8.4 Extensions; 8.5 Examples References for Chapter 8 |
| Record Nr. | UNINA-9910782346103321 |
|
Shelhamer Mark
|
||
| Singapore ; ; Hackensack, NJ, : World Scientific, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Nonlinear dynamics in physiology [[electronic resource] ] : a state-space approach / / Mark Shelhamer
| Nonlinear dynamics in physiology [[electronic resource] ] : a state-space approach / / Mark Shelhamer |
| Autore | Shelhamer Mark |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, c2007 |
| Descrizione fisica | 1 online resource (367 p.) |
| Disciplina |
515.252
571.01/5118 571.015118 |
| Soggetto topico |
Physiology - Mathematical models
Nonlinear systems State-space methods |
| ISBN |
1-281-92446-6
9786611924461 981-277-279-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; 1. The mathematical analysis of physiological systems: goals and approaches; 1.1 The goals of mathematical analysis in physiology; 1.2 Outline of dynamic systems; 1.3 Types of dynamic systems - random, deterministic, linear, nonlinear; 1.4 Types of dynamic behaviors - random, fixed point, periodic, quasi-periodic, chaotic; 1.5 Follow the ""noise""; 1.6 Chaos and physiology; General Bibliography; References for Chapter 1; 2. Fundamental signal processing and analysis concepts and measures; 2.1 Sampled data and continuous distributions; 2.2 Basic statistics
2.3 Correlation coefficient2.4 Linear regression, least-squares, squared-error; 2.5 Random processes, white noise, correlated noise; 2.6 Autocorrelation; 2.7 Concluding remarks; References for Chapter 2; 3. Analysis approaches based on linear systems; 3.1 Definition and properties of linear systems; 3.2 Autocorrelation, cross-correlation, stationarity; 3.3 Fourier transforms and spectral analysis; 3.4 Examples of autocorrelations and frequency spectra; 3.5 Transfer functions of linear systems, Gaussian statistics; References for Chapter 3; 4. State-space reconstruction 4.1 State variables, state space4.2 Time-delay reconstruction; 4.3 A digression on topology; 4.4 How to do the reconstruction correctly; 4.5 Example: detection of fast-phase eye movements; 4.6 Historical notes, examples from the literature; 4.7 Points for further consideration; References for Chapter 4; 5. Dimensions; 5.1 Euclidean dimension and topological dimension; 5.2 Dimension as a scaling process - coastline length, Mandelbrot, fractals, Cantor, Koch; 5.3 Box-counting dimension and correlation dimension; 5.4 Correlation dimension - how to measure it correctly 5.5 Error bars on dimension estimates5.6 Interpretation of the dimension; 5.7 Tracking dimension overtime; 5.8 Examples; 5.9 Points for further consideration; References for Chapter 5; 6. Surrogate data; 6.1 The need for surrogates; 6.2 Statistical hypothesis testing; 6.3 Statistical randomization and its implementation; 6.4 Random surrogates; 6.5 Phase-randomization surrogate; 6.6 AAFT surrogate; 6.7 Pseudo-periodic surrogate; 6.8 First differences and surrogates; 6.9 Multivariate surrogates; 6.10 Surrogates tailored to specific physiological hypotheses; 6.11 Examples of different surrogates 6.12 Physiological examplesReferences for Chapter 6; 7. Nonlinear forecasting; 7.1 Predictability of prototypical systems; 7.2 Methodology; 7.3 Variations; 7.4 Surrogates, global linear forecasting; 7.5 Time-reversal and amplitude-reversal for detection of nonlinearity; 7.6 Chaos versus colored noise; 7.7 Forecasting of neural spike trains and other discrete events; 7.8 Examples; References for Chapter 7; 8. Recurrence analysis; 8.1 Concept and methodology; 8.2 Recurrence plots of simple systems; 8.3 Recurrence quantification analysis (RQA); 8.4 Extensions; 8.5 Examples References for Chapter 8 |
| Record Nr. | UNINA-9910828029503321 |
|
Shelhamer Mark
|
||
| Singapore ; ; Hackensack, NJ, : World Scientific, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
