Business Forecasting
International Edition
9th Edition
Published on 6. March 2008
Book
Paperback/Softback
576 pages
978-0-13-500933-8 (ISBN)
Description
For undergraduate and graduate courses in Business Forecasting.
Written in a simple, straightforward style, Business Forecasting 9/e presents basic statistical techniques using practical business examples to teach students how to predict long-term forecasts.
Written in a simple, straightforward style, Business Forecasting 9/e presents basic statistical techniques using practical business examples to teach students how to predict long-term forecasts.
More details
Edition
9th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 215 mm
Width: 254 mm
Thickness: 18 mm
Weight
912 gr
ISBN-13
978-0-13-500933-8 (9780135009338)
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
08/2013
9th Edition
Pearson Education Limited
€104.49
Shipment within 10-20 days
Previous edition
Book
02/2004
8th Edition
Pearson
€59.55
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Content
Table of Contents
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.
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.