Quantitative Forecasting Methods

This text covers several forecasting methods including Box-Jenkins and exponential smoothing, time series application, leading indicator and business cycle. It is organized by using the classical trend, seasonal and cycle approach to distinguish the forecasting methods covered. Computer printouts (MINITAB and some SAS) are included and, to remain flexible, all of the techniques in the text can be performed with either MINITAB, SAS, SPSS or BMDP. Summary boxes provide a quick reference to all key formulae and steps and the text's real data sets add flexibility and are appropriate for both hand calculators and computer software packages. This book should be of interest to undergraduate students taking introductory courses in forecasting, or time series forecasting; introductory statistics is a prerequisite.
 
This text covers several forecasting methods including Box-Jenkins and exponential smoothing, time series application, leading indicator and business cycle. It is organized by using the classical trend, seasonal and cycle approach to distinguish the forecasting methods covered. Computer printouts (MINITAB and some SAS) are included and, to remain flexible, all of the techniques in the text can be performed with either MINITAB, SAS, SPSS or BMDP. Summary boxes provide a quick reference to all key formulae and steps and the text's real data sets add flexibility and are appropriate for both hand calculators and computer software packages. This book should be of interest to undergraduate students taking introductory courses in forecasting, or time series forecasting; introductory statistics is a prerequisite.