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Forecasting, time series, and regression : an applied approach / Bruce L. Bowerman, Richard T. O'Connell, Anne B. Koehler.

By: Bowerman, Bruce L.
Contributor(s): O'Connell, Richard T | Koehler, Anne B | Bowerman, Bruce L. Time series forecasting.
Series: Duxbury applied series. Publisher: Belmont, CA : Thomson Brooks/Cole, c2005Edition: 4th ed.Description: xx, 686 p. : ill. ; 25 cm. + 1 CD-ROM (4 3/4 in.).ISBN: 0534409776.Subject(s): Time-series analysis | Forecasting -- Statistical methodsDDC classification: 519.55
Contents:
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.
Item type Current location Shelf location Call number Copy number Status Notes Date due Barcode Remark
Accompanying Material (Media Resource) TU External Storage-LCS
519.55 BOW (Browse shelf) 1 Available SHTEx,70005,03,GR 1000807255 Please fill up online form at https://taylorslibrary.taylors.edu.my/services/external_storage1
Main Collection Taylor's Library-TU

Floor 4, Shelf 15 , Side 2, TierNo 1, BayNo 7

 519.55 BOW (Browse shelf) 1 Available SHTEx,70005,03,GR 5000030177

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.