Business Forecasting, 9th edition

Published by Pearson (July 14, 2021) © 2014

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

Pearson+ subscription

ISBN-13: 9780137593316
Business Forecasting
Published 2021

eTextbook features

  • Instant access to eTextbook
  • Search, highlight, and notes
  • Create flashcards
  • Audio with read-along

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.

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

This publication contains markup to enable structural navigation and compatibility with assistive technologies. Images in the publication MAY NOT be fully described, which is a barrier to those who rely on alternative text descriptions. The publication supports text reflow and contains no content hazards known to cause adverse physical reactions.

Need help? Get in touch