Business Forecasting
7th Edition
Published on 26. January 2001
Book
Hardback
498 pages
978-0-13-087810-6 (ISBN)
Description
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.
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.
More details
Edition
7th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 259 mm
Width: 206 mm
Thickness: 24 mm
Weight
1137 gr
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 Classification
Other editions
New editions
Book
02/2004
8th Edition
Pearson
€109.20
Article exhausted; check for reprint
Previous edition
John E. Hanke | Arthur G. Reitsch
Business Forecasting
Book
12/1997
6th Edition
Pearson
€39.60
Article exhausted; check for reprint
Content
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.
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.