Principles of business forecasting /
Keith Ord, Robert Fildes.
- Mason : Cengage Learning, c2012.
- xxii, 506 p. : ill. col. ; 26 cm.
Includes bibliographical references and index.
1. Forecasting, the why and the how -- 2. Basic tools for forecasting -- 3. Forecasting trends: exponential smoothing -- 4. Seasonal series: forecasting and decomposition -- 5. State-space models for time series -- 6. Autoregressive Integrated Moving Average (ARIMA) models -- 7. Simple linear regression for forecasting -- 8. Multiple regression for time series -- 9. Model building -- 10. Advanced methods of forecasting -- 11. Judgment-based forecast -- 12. Putting forecasting methods to work -- 13. Forecasting in practice.
Forecasting techniques are shown in a variety of software platforms and the chapter organization provides an overview of forecasting in a variety of situations using time series and cross-sectional data. The focus then shifts to using extrapolative methods in forecasting, followed by statistical model-building. Finally, the authors cover more advanced techniques in the latter chapters, including the selection of the best forecasting method based on available data and the construction of a forecasting system with an organization.