Business forecasting

Emphasizing the application of techniques by managers for decision-making, this text explores the basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. The book incorporates instructions on using Excel spreadsheets and MINITAB

Bibliographic Details
Main Authors: Hanke, John E. , 1940- (Author), Reitsch, Arthur G. , 1938- (Author), Wichern, Dean W. (Author)
Format: Book
Language:English
Published: Upper Saddle River, New Jersey : Prentice Hall , c2001
Edition:7th ed
Subjects:
Table of 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 elements in forecasting
  • 11. Managing the forecasting process