For undergraduate and graduate courses in Business Forecasting, found in Decision Science and Economic departments.
This best-selling text continues to be written in a simple, straightforward style and to make extensive use of practical business examples. Many exercises and forty-four cases are included to provide the link between theoretical concepts and their real-world applications. Statistical packages (Excel and Minitab) are referenced throughout.
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Maße
Höhe: 259 mm
Breite: 206 mm
Dicke: 24 mm
Gewicht
ISBN-13
978-0-13-087810-6 (9780130878106)
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 Elements in Forecasting.
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.
