ISBN | Product | Product | Price CHF | Available | |
---|---|---|---|---|---|
Business Forecasting: Pearson New International Edition |
9781292023007 Business Forecasting: Pearson New International Edition |
85.90 |
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.
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.
How do you emphasize the correlation between theoretical concepts and real-world applications? What types of projects, assignments, and exercises help reinforce class material?
Emphasis on the 9th edition has been placed on the application of theoretical concepts and techniques by incorporating end-of-chapter exercises such as:
OTHER KEY POINTS OF DISTINCTION
How do you structure your course to ensure students will successfully absorb the material? Do students typically have a fundamental knowledge of basic statistics on the first day of class?
All chapters in this edition have been revised to enhance the clarity of the writing and increase teaching and learning effectiveness. Six sections have been constructed which include:
How do you incorporate computers into the classroom to introduce business forecasting software? Are your students comfortable using Minitab, SAS, and Excel?
The authors have tried several different approaches to help faculty and students use the computer for forecasting. This edition features the following:
New To This Edition
How do you emphasize the correlation between theoretical concepts and real-world applications? What types of projects, assignments, and exercises help reinforce class material?
Emphasis on the 9th edition has been placed on the application of theoretical concepts and techniques by incorporating end-of-chapter exercises such as:
How do you structure your course to ensure students will successfully absorb the material? Do students typically have a fundamental knowledge of basic statistics on the first day of class?
All chapters in this edition have been revised to enhance the clarity of the writing and increase teaching and learning effectiveness. Six sections have been constructed which include:
How do you incorporate computers into the classroom to introduce business forecasting software? Are your students comfortable using Minitab, SAS, and Excel?
The authors have tried several different approaches to help faculty and students use the computer for forecasting. This edition features the following:
OTHER TOPICS OF DISTINCTION
*An updated instructor’s manual is available online with the 9th edition.
*Data sets have been updated.
*A section on Cointegrated Time Series has been added to Chapter 8.
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.