Forecasting, time series, and regression : an applied approach /
Bruce L. Bowerman, Richard T. O'Connell, Anne B. Koehler.
- 4th ed.
- Belmont, CA : Thomson Brooks/Cole, c2005.
- xx, 686 p. : ill. ; 25 cm. + 1 CD-ROM (4 3/4 in.)
- Duxbury applied series .
Rev. ed. of: Forecasting and time series : an applied approach. 3rd ed. c1993.
Includes bibliographical references (p. 665-667) and index.
Part 1 : Introduction - 1. An introduction to forecasting - 2. Basic statistical concepts -- Part II : Regression analysis - 3. Simple linear regression - 4. Multiple linear regression - 5. Model building and residual analysis -- Part III : Time series regression, decomposition methods, and exponential smoothing - 6. Time series regression - 7. Decomposition methods - 8. Exponential smoothing -- Part IV : The box-jenkins methodology - 9. Nonseasonal box-jenkins models and their tentative identification - 10. Estimation, diagnostic checking and forecasting for nonseasonal box-jenkins models - 11. Box-Jenkins seasonal modeling - 12. Advanced Box-Jenkins modeling.