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...
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Udgivelse: | 2nd ed. 2008. |
| Serier: | Springer Texts in Statistics
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| Fag: | |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
L'impression du document génère 500 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Time series analysis, with applications in R, Jonathan D. Cryer, Kung-Sik Chan, Second edition, New York, Springer, 2008, 1 vol. (XIII-491 p.), Springer texts in statistics, 978-0-387-75958-6 • Polymer physics, with contributions by H. Biederman ... [et al.], Berlin, Springer-Verlag, 1990, 216 p., Advances in polymer science, 3-540-52159-3 • Time Series Analysis, with applications in R, by Jonathan D. Cryer, Kung-Sik Chan, Second edition, New York, Springer, 2010, 1 vol. (XIII-491 p.), Springer texts in statistics, 978-1-4419-2613-5 • Time series analysis, with applications in R, Jonathan D. Cryer, Kung-Sik Chan, Second edition, New York, Springer, 2008, 1 vol. (XIII-491 p.), Springer texts in statistics, 978-0-387-75958-6 |
Indholdsfortegnelse:
- 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.