For undergraduate- or graduate-level courses in Business Forecasting, found in Decision Science or Economic departments.
The goal is to present basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. Written in a simple, straightforward style and making extensive use of practical business examples, the new edition includes numerous new problems, examples, data sets, and cases providing students with the necessary link between theoretical concepts and their real-world applications.
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ISBN-13
978-0-13-107385-2 (9780131073852)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
1. Introduction to Forecasting.
2. A Review of Basic Statistical Concepts.
3. Exploring Data Patterns and Choosing a Forecasting Technique.
4. Moving Averages and Smoothing Methods.
5. Time Series and Their Components.
6. Simple Linear Regression.
7. Multiple Regression Analysis.
8. Regression with Time Series Data.
9. The Box-Jenkins (ARIMA) Methodology.
10. Judgmental Forecasting and Forecast Adjustments.
11. 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.
