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Item Details
| Title:
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FORECASTING WITH EXPONENTIAL SMOOTHING
THE STATE SPACE APPROACH |
| By: |
Rob J. Hyndman, A. Koehler, J. Keith Ord |
| Format: |
Paperback |
| List price:
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£109.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
3540719164 |
| ISBN 13: |
9783540719168 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
4 July, 2008 |
| Edition: |
2008 ed. |
| Series: |
Springer Series in Statistics |
| Pages: |
362 |
| Description: |
This book brings together all of the important new results on the state space framework for exponential smoothing. It gives an overview of current topics and develops new ideas that have not appeared in the academic literature. |
| Synopsis: |
Exponential smoothing methods have been around since the 1950s, and are still the most popular forecasting methods used in business and industry. However, a modeling framework incorporating stochastic models, likelihood calculation, prediction intervals and procedures for model selection, was not developed until recently. This book brings together all of the important new results on the state space framework for exponential smoothing. It will be of interest to people wanting to apply the methods in their own area of interest as well as for researchers wanting to take the ideas in new directions. Part 1 provides an introduction to exponential smoothing and the underlying models. The essential details are given in Part 2, which also provide links to the most important papers in the literature. More advanced topics are covered in Part 3, including the mathematical properties of the models and extensions of the models for specific problems. Applications to particular domains are discussed in Part 4. |
| Illustrations: |
47 Tables, black and white; XIII, 362 p. |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |
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