Business Forecasting and Student CD Package
International Edition
8th Edition
Published on 5. February 2004
Book
Mixed media product
608 pages
978-0-13-124854-0 (ISBN)
Description
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.
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.
More details
Edition
8th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 254 mm
Width: 206 mm
Thickness: 21 mm
Weight
978 gr
ISBN-13
978-0-13-124854-0 (9780131248540)
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
03/2008
9th Edition
Pearson
€151.02
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 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.
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.