Business forecasting with accompanying excel-based forecastXtm software / J. Holton Wilson, Barry Keating, John Galt Solutions, Inc.
By: Wilson, J. Holton
.
Contributor(s): Keating, Barry | John Galt Solutions, Inc.
Publisher: Boston, MA : McGraw-Hill, c2007Edition: 5th ed., Int. ed.Description: xiii, 461 p. : ill. ; 25 cm. + 1 CD-ROM (4 3/4 in.).ISBN: 0071244948 (pbk., int. ed.); 9780071244947 (pbk., int. ed.).Subject(s): Business forecastingDDC classification: 658.40355
Contents:
1. Introduction to business forecasting - 2. The forecast process, data considerations, and model selection - 3. Moving averages and exponential smoothing - 4. Introduction to forecasting with regression methods - 5. Forecasting with multiple regression - 6. Times-series decomposition - 7. Arima (box-jenkins)-type forecasting models - 8. Combining forecast results - 9. Forecast implementation.
| Item type | Current location | Shelf location | Call number | Copy number | Status | Notes | Date due | Barcode | Remark |
|---|---|---|---|---|---|---|---|---|---|
| Accompanying Material (Media Resource) | Taylor's Library-TU | 658.40355 WIL (Browse shelf) | 1 | Available | UNISA,19001,03,GR | 1000516913 | |||
| Main Collection | TU External Storage-LCS | 658.40355 WIL (Browse shelf) | 1 | Available | TBSxx,34001,03,GR | 1000516912 | Please fill up online form at https://taylorslibrary.taylors.edu.my/services/external_storage1 | ||
| Accompanying Material (Media Resource) | Taylor's Library-TU | 658.40355 WIL (Browse shelf) | 1 | Available | SABDx,23003,03,GR | 1001003873 | |||
| Accompanying Material (Media Resource) | Taylor's Library-TU | 658.40355 WIL (Browse shelf) | 1 | Available | SABDx,23003,02,GR | 1001003871 | |||
| Main Collection | Taylor's Library-TU |
Floor 4, Shelf 25 , Side 2, TierNo 4, BayNo 4 |
658.40355 WIL (Browse shelf) | 1 | Available | SABDx,23003,02,GR | 5000034865 |
Browsing Taylor's Library-TU Shelves Close shelf browser
1. Introduction to business forecasting - 2. The forecast process, data considerations, and model selection - 3. Moving averages and exponential smoothing - 4. Introduction to forecasting with regression methods - 5. Forecasting with multiple regression - 6. Times-series decomposition - 7. Arima (box-jenkins)-type forecasting models - 8. Combining forecast results - 9. Forecast implementation.