Nonlinear time series : nonparametric and parametric methods /
This is the first book that integrates useful parametric and nonparametric techniques with time series modeling and prediction, the two important goals of time series analysis. A distinct feature of this book is that it applies many modern nonparametric estimation and testing ideas to time series mo...
Κύριοι συγγραφείς: | , |
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Μορφή: | Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York :
Springer,
[2003]
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Σειρά: | Springer series in statistics.
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Θέματα: | |
Διαθέσιμο Online: | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=98882 |
Πίνακας περιεχομένων:
- 1. Introduction
- 2. Characteristics of Time Series
- 3. ARMA Modeling and Forecasting
- 4. Parametric Nonlinear Time Series Models
- 5. Nonparametric Density Estimation
- 6. Smoothing in Time Series
- 7. Spectral Density Estimation and Its Applications
- 8. Nonparametric Models
- 9. Model Validation
- 10. Nonlinear Prediction.