Business Forecasting, 9th edition

Published by Pearson (14 July 2021) © 2022

  • John E. Hanke Eastern Washington University, Emeritus
  • Dean W. Wichern Texas A&M University, College Station

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Title overview

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.

Table of contents

Brief Contents

  1. Introduction to Forecasting
  2. A Review of Basic Statistical Concepts
  3. Exploring Data Patterns and Choosing a Forecasting Technique
  4. Moving Averages and Smoothing Methods
  5. Time Series and Their Components
  6. Simple Linear Regression
  7. Multiple Regression Analysis
  8. Regression with Time Series Data
  9. The Box-Jenkins (ARIMA) Methodology
  10. Judgmental Forecasting and Forecast Adjustments
  11. Managing the Forecasting Process

Appendix A: Derivations

Appendix B: Data for Case Study 7.1

Appendix C: Tables

Appendix D: Data Sets and Databases

Author bios

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