TY  - BOOK
AU  - Ord,Keith
AU  - Fildes,Robert
TI  - Principles of business forecasting
SN  - 978113358440
U1  - 338 
PY  - 2012///
CY  - Mason
PB  - Cengage Learning
KW  - Business forecasting
N1  - 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
N2  - 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
ER  -