Principles of business forecasting /
Ord, Keith
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.
978113358440
Business forecasting
338
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.
978113358440
Business forecasting
338