Business Forecasting, Pearson New International Edition, 9th edition

  • John E. Hanke
  • Dean W. Wichern

Title overview

 

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.

 

Table of contents

  • 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.

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Published by Pearson United Kingdom (August 15th 2013) - Copyright © 2014