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

Rob Hyndman, Anne B. Koehler, J. Keith Ord, Ralph D. Snyder




[PDF.qr65] 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
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 | #898553 in Books |  Springer |  2008-08-15 |  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

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 ...

You easily download any file type for your gadget.Forecasting with Exponential Smoothing: The State Space Approach (Springer Series in Statistics)   |  Rob Hyndman, Anne B. Koehler, J. Keith Ord, Ralph D. Snyder. A good, fresh read, highly recommended.

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