[PDF.87wt] Forecasting with Exponential Smoothing: The State Space Approach (Springer Series in Statistics)

Forecasting with Exponential Smoothing: The State Space Approach (Springer Series in Statistics)

[PDF.ib81] Forecasting with Exponential Smoothing: The State Space Approach (Springer Series in Statistics)

Forecasting with Exponential Smoothing:  Rob Hyndman, Anne B. Koehler, J. Keith Ord, Ralph D. Snyder epub
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Forecasting with Exponential Smoothing:  Rob Hyndman, Anne B. Koehler, J. Keith Ord, Ralph D. Snyder book review
Forecasting with Exponential Smoothing:  Rob Hyndman, Anne B. Koehler, J. Keith Ord, Ralph D. Snyder summary

 | #134817 in Books |  Springer |  2008-07-04 |  2008-07-04 | Original language:English | PDF # 1 |  9.25 x.86 x6.10l,1.25 | File type: PDF | 362 pages

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||5 of 5 people found the following review helpful.| The standard work on Exponential Smoothing|By Joseph Johnson|Groundbreaking approach to exponential smoothing. I found the most useful information to be 1) the inclusion of all 30 ETS models (although some models have limited utility) into a standardized framework, 2) prediction intervals for most ETS models, 3) constraints for the model parameters, and 4) models for choosing t|From the Back Cover||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

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.

You can specify the type of files you want, for your device.Forecasting with Exponential Smoothing: The State Space Approach (Springer Series in Statistics)   |  Rob Hyndman, Anne B. Koehler, J. Keith Ord, Ralph D. Snyder. Which are the reasons I like to read books. Great story by a great author.

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