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Forecasting Principles and Applications: Delurgio, Stephen A.

By: Material type: TextPublication details: U.S.A,; McGraw-Hill, 1998.Description: xxviii, 802 p.: ill, 26 cmISBN:
  • 0256134332
Subject(s): LOC classification:
  • H61.4 .D37
Contents:
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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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books Methodist University Library Tema General Stacks H61.4 .D37 (Browse shelf(Opens below)) Available 1220
Books Methodist University Library Wenchi Faculty H61.4 .D37 (Browse shelf(Opens below)) Available 31740

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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