Written in a simple, straightforward style and making extensive use of practical business examples, the book includes many cases that provide readers with the necessary link between theoretical concepts and their real-world applications. Readers should have a basic knowledge of statistics and be familiar with computer applications such as word processing and spreadsheets. KEY TOPICS : The book first presents background material such as the nature of forecasting and a quick review of basic statistical concepts; proceeds with the exploration of data patterns and choosing a forecasting technique; covers averaging the smoothing techniques and time series decomposition; emphasizes causal forecasting techniques such as correlation, regression, and multiple regression analysis; and concludes with judgmental forecasting and forecast adjustments. MARKET : Useful as a reference for students and professionals with job titles including: forecasting manager, marketing manager, production manager, and analyst. Business Forecasting. John E.
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View larger. Preview this title online. Request a copy. Download instructor resources. Additional order info. Buy this product. Buy an eText. 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 9 th 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? The authors have tried several different approaches to help faculty and students use the computer for forecasting. This edition features the following:. Table of Contents. Introduction to Forecasting. A Review of Basic Statistical Concepts.
Moving Averages and Smoothing Methods. Time Series and Their Components. Simple Linear Regression. Multiple Regression Analysis. Regression with Time Series Data. Judgmental Forecasting and Forecast Adjustments. Managing the Forecasting Process.
Appendix A: Derivations. Appendix B: Data for Case Study 7. Appendix C: Tables. Appendix D: Data Sets and Databases. Pearson offers special pricing when you package your text with other student resources. If you're interested in creating a cost-saving package for your students, contact your Pearson rep. In the first eight editions, the computer was recognized as a powerful tool in forecasting.
The computer is even more important now with the availability of powerful. The packages mentioned most frequently were Minitab, SAS, and. The authors have tried several different approaches to help faculty and students. Minitab instructions presented at the end of most chapters. Three data collections available on the Internet Minitab, Excel, other programs. Each collection contains data from the text examples and problems. Each collection. To access the data sets on the Internet go.
We're sorry! We don't recognize your username or password. Please try again. The work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning. You have successfully signed out and will be required to sign back in should you need to download more resources. Business Forecasting, 9th Edition. John E. Description For undergraduate and graduate courses in Business Forecasting.
For undergraduate and graduate courses in Business Forecasting. Thirty two new problem sets. Minitab Applications are presented at the end of each chapter with step-by-step guidance. Excel Applications have been added to demonstrate how a forecasting problem is solved. The exploration of data patterns, averaging, smoothing techniques, and an introduction to time series decomposition in terms of underlying components.
Causal forecasting techniques. Judgmental forecasting and managing the forecasting process. Excel instructions. Examples of different computer outputs are place throughout the text. Three data collections are available on the CD included with this book. New to This Edition. Emphasis on the 9 th edition has been placed on the application of theoretical concepts and techniques by incorporating end-of-chapter exercises such as: Twelve additional cases.
Six sections have been constructed which include: Background material on the nature of forecasting and a quick review of statistical concepts. This edition features the following: Minitab instructions. Data sets have been revised. A section on Cointegrated Time Series has been added to Chapter 8. Share a link to All Resources. Instructor Resources. Discipline Resources. About the Author s. Previous editions. Relevant Courses.
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ISBN 13: 9780132301206
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Business forecasting / John E. Hanke, Dean W. Wichern.
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