Forecasting with Exponential Smoothing : The State Space Approach
Exponential smoothing methods have been around since the 1950s, and are the most popular forecasting methods used in business and industry. Recently, exponential smoothing has been revolutionized with the introduction of a complete modeling framework incorporating innovations state space models, lik...
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| Auteurs principaux: | , , , |
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| 格式: | Livre numérique |
| 語言: | Anglais |
| 出版: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| 版: | 1st ed. 2008. |
| 叢編: | Springer Series in Statistics
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| 主題: | |
| 在線閱讀: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 提示: |
L'impression du document génère 355 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Forecasting with exponential smoothing, the state space approach, Rob J. Hyndman, Anne B. Koehler, J. Keith Ord... [et al.], 2008, Berlin, Springer, 1 vol. (xiii-359 p.), Springer series in statistics, 978-3-540-71916-8 |