TY  - BOOK
AU  - DeLurgio, Stephen
TI  - Forecasting principles and applications
SN  - 0075611201
AV  - H61.4 .D45
PY  - 1998///
CY  - Boston 
PB  - McGraw-Hill
KW  - Forecasting principles
N1  - 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

ER  -