Business Forecasting
6th Edition
Published on 4. December 1997
Book
Hardback
592 pages
978-0-13-760745-7 (ISBN)
Description
Appropriate for junior/senior and graduate level courses in Forecasting found in Economics or Statistics departments.
This top-selling text presents, in a straightforward, application-driven manner, the basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. The emphasis is on the application of techniques by managers for decision-making.
This top-selling text presents, in a straightforward, application-driven manner, the basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. The emphasis is on the application of techniques by managers for decision-making.
More details
Edition
6th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 241 mm
Width: 196 mm
Thickness: 26 mm
Weight
1144 gr
ISBN-13
978-0-13-760745-7 (9780137607457)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
John E. Hanke | Arthur G. Reitsch | Dean W. Wichern
Business Forecasting
Book
01/2001
7th Edition
Pearson
€53.22
Article exhausted; check for reprint
Previous edition
John E. Hanke | Arthur G. Reitsch
Business Forecasting
Book
01/1989
3rd Edition
Longman Higher Education
€87.53
Article exhausted; check for reprint
Content
1. Introduction to Forecasting.
2. A Review of Basic Statistical Concepts.
3. Data Sources.
4. Exploring Data Patterns and Choosing a Forecasting Technique.
5. Moving Averages and Smoothing Methods.
6. Regression Analysis.
7. Multiple Regression.
8. Time Series Analysis.
9. Regression of Time Series Data.
10. The Box-Jenkins (ARIMA) Methodology.
11. Judgmental Elements in Forecasting.
Appendix A. Derivations.
Appendix B. Data for Case Study 7.1.
Appendix C. Tables.
Appendix D. Data Sets and Database.
Index.
2. A Review of Basic Statistical Concepts.
3. Data Sources.
4. Exploring Data Patterns and Choosing a Forecasting Technique.
5. Moving Averages and Smoothing Methods.
6. Regression Analysis.
7. Multiple Regression.
8. Time Series Analysis.
9. Regression of Time Series Data.
10. The Box-Jenkins (ARIMA) Methodology.
11. Judgmental Elements in Forecasting.
Appendix A. Derivations.
Appendix B. Data for Case Study 7.1.
Appendix C. Tables.
Appendix D. Data Sets and Database.
Index.