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Time Series Analysis With Applications in R /
Time Series Analysis With Applications in R, Second Edition, presents an accessible approach to understanding time series models and their applications. Although the emphasis is on time domain ARIMA models and their analysis, the new edition devotes two chapters to the frequency domain and three to...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2008.
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| Edición: | 2nd ed. 2008. |
| Colección: | Springer Texts in Statistics,
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| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Fundamental Concepts
- Trends
- Models For Stationary Time Series
- Models For Nonstationary Time Series
- Model Specification
- Parameter Estimation
- Model Diagnostics
- Forecasting
- Seasonal Models
- Time Series Regression Models
- Time Series Models Of Heteroscedasticity
- To Spectral Analysis
- Estimating The Spectrum
- Threshold Models.