This text introduces students to basic statistical techniques used in formulating individual business forecasts and longe-range plans, with an emphasis on the application of these techniques by management to decision-making. It addresses a range of complex topics and makes them understandable through a simple straightforward writing style and a ...Read MoreThis text introduces students to basic statistical techniques used in formulating individual business forecasts and longe-range plans, with an emphasis on the application of these techniques by management to decision-making. It addresses a range of complex topics and makes them understandable through a simple straightforward writing style and a wealth of practical examples. 25 cases at the end of chapters help illustrate the concepts taught and their real-world applications. Computer output from different computer packages are provided at the end of each chapter. They familiarize students with a range of software packages used in the business world and teach them how to read the output. There is a chapter on econometric topics, including coverage of the regression of time series data that is designed to make these concepts understandable to students.Read Less
New. The ninth edition of Business Forecasting continues to present the basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. The book is written in a simple straightforward style and makes extensive use of practical business examples. Sixty-five cases appear at the end of chapters to provide the necessary link between theoretical concepts and their real-world applications. The emphasis is on the application of techniques by management for decision making. Following are the new or improved features in this edition: Twelve new cases and thirty-two new problems have been added. Data sets have been updated. An example of how to use Minitab 15 in a forecasting situation is demonstrated at the end of most chapters. An example of how to use Excel 2003 to solve a forecasting problem is demonstrated at the end of most chapters. Contents: Preface Chapter 1: Introduction to Forecasting Chapter 2: A Review of Basic Statistical Concepts Chapter 3: Exploring Data Patterns and an Introduction to Forecasting Techniques Chapter 4: Moving Averages and Smoothing Methods Chapter 5: Time Series and Their Components Chapter 6: Simple Linear Regression Chapter 7: Multiple Regression Analysis Chapter 8: Regression with Time Series Data Chapter 9: The Box-Jenkins (ARIMA) Methodology Chapter 10: Judgmental Forecasting and Forecast Adjustments Chapter 11: Managing the Forecasting Process Appendix A: Data for Case 7-1 Appendix B: Tables Appendix C: Data Sets and Databases Index Printed Pages: 572..
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