Forecasting Principles and Applications: Delurgio, Stephen A.
Material type:
TextPublication details: U.S.A,; McGraw-Hill, 1998.Description: xxviii, 802 p.: ill, 26 cmISBN: - 0256134332
- H61.4 .D37
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| GN60 .F43 Human antiquity : | GN652 Et3 Ethnoveterinary medicine : | GN799.A4 The living fields : | H61.4 .D37 Forecasting Principles and Applications: | HA29 Essential Elements of Business Statistics | HA29 .G9176 Elements of business statistics / | HA29 .K854 Study guide to accompany Neil J. Salkind's Statistics for people who (think they) hate statistics, 4[th] edition / |
Includes index.
Chapter 1. Planning and forecasting
Chapter 2. Statistical fundamentals
Chapter 3. Simple Linear regression analysis
Chapter 4. Simple smoothing methods
Chapter 5. Decomposition methods and seasonal indexes
Chapter 6. Trends-Seasonal and Holt-winters smoothing
Chapter 7. Univariate ARIMA models: Introduction
Chapter 8. ARIMA applications
Chapter 9. ARIMA forecast intervals
Chapter 10. Multiple regression of time series
Chapter 11. Economic methods
Chapter 12. ARIMA intervention analysis
Chapter 13. Multivariate transfer function
Chapter 14. Cytical forecasting method
Chapter 15. Technological and quantitative forecasting methods: Long-Term forecasting
Chapter 16. Artificial neural networks, expert systems and genetic algoriths
Chapter 17. Control, validation and combining methods
Chapter 18. Method characteristics, accuracy and data source
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