Business Forecasting
Pearson New International Edition
9th Edition
Published on 28. August 2013
512 pages
978-1-292-03618-2 (ISBN)
Description
For undergraduate and graduate courses in Business Forecasting.
Written in a simple, straightforward style, Business Forecasting presents basic statistical techniques using practical business examples to teach students how to predict long-term forecasts.
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Written in a simple, straightforward style, Business Forecasting presents basic statistical techniques using practical business examples to teach students how to predict long-term forecasts.
The full text downloaded to your computer
With eBooks you can:
search for key concepts, words and phrases
make highlights and notes as you study
share your notes with friends
eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps.
Upon purchase, you'll gain instant access to this eBook.
Time limit
The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
More details
Edition
9th edition
Language
English
Place of publication
Harlow
United Kingdom
Target group
College/higher education
ISBN-13
978-1-292-03618-2 (9781292036182)
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
Additional editions
Book
08/2013
9th Edition
Pearson Education Limited
€104.49
Shipment within 10-20 days
Content
1. Introduction to Forecasting.
2. Exploring Data Patterns and Choosing a Forecasting Technique.
3. Moving Averages and Smoothing Methods.
4. Time Series and Their Components.
5. Simple Linear Regression.
6. Multiple Regression Analysis.
7. Regression with Time Series Data.
8. The Box-Jenkins (ARIMA) Methodology.
9. Judgmental Forecasting and Forecast Adjustments.
10. 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. Exploring Data Patterns and Choosing a Forecasting Technique.
3. Moving Averages and Smoothing Methods.
4. Time Series and Their Components.
5. Simple Linear Regression.
6. Multiple Regression Analysis.
7. Regression with Time Series Data.
8. The Box-Jenkins (ARIMA) Methodology.
9. Judgmental Forecasting and Forecast Adjustments.
10. 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.
