Business Forecasting

Description
Table of Contents

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.

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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.
Index.