Introduction to time-series modeling and forecasting in business and economics/ by Patricia E. Gaynor and Rickey C. Kirkpatrick
Material type:
TextPublication details: --New York: McGraww-Hill, Inc. c1994.Description: xxi, 607p. ill,; 23.3 cmISBN: - 0-07-034913-4
- BCir. 658.40355 G256i 1994
| Item type | Home library | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|
| Bansalan Circulation1 | UM Bansalan College LIC | BCir. 658.40355 G256i 1994 (Browse shelf(Opens below)) | Available | 1951 |
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| BCir. 658.4034 Q258 1992 Quantitative approaches to management/ | BCir. 658.4034 Q258 1992 Quantitative approaches to management/ | BCir. 658.4034 Q258 1992 Quantitative approaches to management/ | BCir. 658.40355 G256i 1994 Introduction to time-series modeling and forecasting in business and economics/ | BCir. 658.4036 G76h 1994 The horizontal revolution: Reengineering your organization through teams/ | BCir. 658.4036 T790aw 2004 A systems approach to small group interaction/ | BCir. 658.4038 1999 Management information system: |
Includes references and index
Contents I. Introduction to time-series analysis and forecasting --II. Building tools for time-series analysis: describing and transforming data --III. Modeling trend using regression analysis --IV. Exponential smoothing: updating regression-based --V. The decomposition method --VI. Updating seasonal models with winters' exponential smoothing --VII. Box-jenkins methodology-nonseasonal models --VIII. Box-jenkins methodology-seasonal models --IX. Multiple regression in time-series analysis: the casual model --X. Combining forecast methodologies and fine-tuning the forecast: judgmental factors in forecasting.
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