Statistical Methods for ForecastingISBN: 978-0-471-76987-3
Paperback
445 pages
August 2013
 This is a Print-on-Demand title. It will be printed specifically to fill your order. Please allow an additional 10-15 days delivery time. The book is not returnable.
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1. Introduction and Summary.
2. The Regression Model and Its Application in Forecasting.
3. Regression and Exponential Smoothing Methods to Forecast Nonseasonal Time Series.
4. Regression and Exponential Smoothing Methods to Forecast Seasonal Time Series.
5. Stochastic Time Series Models.
6. Seasonal Autoregressive Integrated Moving Average Models.
7. Relationships Between Forecasts from General Exponential Smoothing and Forecasts from Arima Time Series Models.
8. Special Topics.
References.
Exercises.
Data Appendix.
Table Appendix.
Author Index.
Subject Index.
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