For undergraduate and graduate courses in Business Forecasting. Written in a simple, straightforward style, Business Forecasting presents basic statistical techniques using practical business examples to teach students how to predict long-term forecasts.
Emphasis on the 9th edition has been placed on the application of theoretical concepts and techniques by incorporating end-of-chapter exercises such as:
- Twelve additional cases.
- Thirty two new problem sets.
- Minitab Applications are presented at the end of each chapter with step-by-step guidance.
- Excel 2003 Applications have been added to demonstrate how a forecasting problem is solved.
- Background material on the nature of forecasting and a quick review of statistical concepts.
- The exploration of data patterns, averaging, smoothing techniques, and an introduction to time series decomposition in terms of underlying components.
- Causal forecasting techniques.
- Judgmental forecasting and managing the forecasting process.
Table of Contents
- 1. Introduction to Forecasting.
- 2. Exploring Data Patterns and Choosing a Forecasting Technique.
- 3. Moving Averages and Smoothing Methods.
- 4. Time Series and Their Components.
- 5. Simple Linear Regression.
- 6. Multiple Regression Analysis.
- 7. Regression with Time Series Data.
- 8. The Box-Jenkins (ARIMA) Methodology.
- 9. Judgmental Forecasting and Forecast Adjustments.
- 10. Managing the Forecasting Process.
- Appendix A: Derivations.
- Appendix B: Data for Case Study 7.1.
- Appendix C: Tables.
- Appendix D: Data Sets and Databases.