Includes index

Part I. Foundations of Forecasting
Chapter 1. Planning and Forecasting
Chapter 2. Statistical Foundations for Forecasting
Chapter 3. Simple Linear Regression Analysis

Part II. Univariate Smoothing Methods
Chapter 4. Simple Smoothing Methods
Chapter 5. Decomposition Methods and Seasonal Indexes
Chapter 6. Trend-Seasonal and Holt-Winters Smoothing

Part III Univariate ARIMA Methods
Chapter 7. Univariate ARIMA Models: Introduction
Chapter 8. ARIMA Applications
Chapter 9. ARIMA Forecast Intervals

PArt IV Multivariate / Casual Methods
Chapter 10. Multiple Regression of Time Series
Chapter 11. Econometric Methods
Chapter 12. ARIMA Intervention Analysis
Chapter 13. Multivariate ARIMA Transfer Functions

Part V. Cyclical, Qualitative, and Artificial Intelligence Methods
Chapter 14. Cyclical Forecasting Methods
Chapter 15. Technological and Qualitative Forecasting Methods: Long-Term Forecasting
Chapter 16. Artificial Neural Networks, Experts Systems, and Genetic Algorithms

Part VI Combining, Validation, and Combining Methods
Chapter 17. Control, Validation, and Combining Methods
Chapter 18. Method Characteristics, Accuracy, and Data Sources