Interactive forecasting : Univariate and multivariate methods /
Makridakis, Spyros G.
Interactive forecasting : Univariate and multivariate methods / Spyros Makridakis, Steven C. Wheelwright. - Second Edition. - San Francisco, CA : Holden-Day, 1978. - 650 páginas : ilustradas con gráficos ; 23 cm.
Cases for interactive forecasting, xvii -- Chapter 1. Introduction: interactive forecasting system, 1 -- Chapter 2. Introduction: time series analysis and forecasting, 13 -- Chapter 3. Autocorrelation analysis, 23 -- Chapter 4. Moving averages, 44 -- Chapter 5. Single exponential smoothing, 58 -- Chapter 6. Adaptive response rate exponential smoothing, 67 -- Cases. Exercises on simple exponential smoothing, 73 -- Chapter 7. Brown's one parameter linear exponential smoothing, 79 -- Chapter 8. Holt's two parameters linear exponential smoothing, 85 -- Chapter 9. Brown's one parameter quadratic exponential smoothing, 91 -- Chapter 10. Winters' three parameter linear and seasonal exponential smoothing, 98 -- Chapter 11. Single and linear moving averages, 106 -- Chapter 12. Trend analysis, 120 -- Cases. Utah industrial promotion board, Arizona security Bank, Phoenix City Council, eagle airlines, ferric Processing and Lenex Corporation, 129 -- Chapter 13. S-curve and exponential growth models, 169 -- Chapter 14. Harrison's harmonic smoothing, 184 -- Chapter 15. The classical decomposition method, 198 -- Chapter 16. Census II decomposition method, 210 -- Chapter 17. Generalized adaptive filtering, 226 -- Chapter 18. The Box-Jenkins methodology, 245 -- Cases. Kook Kamp, insead's restaurant and Jackson Hole Airport, 273 -- Chapter 19. Choosing a forecasting method (sibyl), 283 -- Chapter 20. Predicting the cycle, 296 -- Chapter 21. Predicting the longer term trend-cycle growth, 324 -- Chapter 22. Tracking trend-cycle and budget movements, 338 -- Cases. Perrins Freres, basic metals and CFE specialty writing papers, 347 -- Chapter 23. Multiple regression, 363 -- Chapter 24. Introduction: multivariate time series analysis and forecasting, 383 -- Chapter 25. Cross autocorrelation analysis, 394 -- Chapter 26. Multivariate Box-Jenkins methodology (transfer functions), 420 -- Chapter 27. Multivariate generalized adaptive filtering, 448 -- Cases. Lyon plate glass, alpha concrete products, Harmon Foods, valley litho, and forecasting IBM stock Prices - Paris exchange, 455 -- Chapter 28. Preparing the executive forecast, 501 -- Chapter 29. Data management, 513 -- Cases. Gruner and jahr, Atwood appliance (a), Shasta timber, Tempo, inc. And Perkin Elmer instrument division, 527 -- References for further study, 561 -- Appendix, Glossary of forecasting terms, 567 -- Index, 643.
Predicciones.
HD 30 .27 / .M35 1978
Interactive forecasting : Univariate and multivariate methods / Spyros Makridakis, Steven C. Wheelwright. - Second Edition. - San Francisco, CA : Holden-Day, 1978. - 650 páginas : ilustradas con gráficos ; 23 cm.
Cases for interactive forecasting, xvii -- Chapter 1. Introduction: interactive forecasting system, 1 -- Chapter 2. Introduction: time series analysis and forecasting, 13 -- Chapter 3. Autocorrelation analysis, 23 -- Chapter 4. Moving averages, 44 -- Chapter 5. Single exponential smoothing, 58 -- Chapter 6. Adaptive response rate exponential smoothing, 67 -- Cases. Exercises on simple exponential smoothing, 73 -- Chapter 7. Brown's one parameter linear exponential smoothing, 79 -- Chapter 8. Holt's two parameters linear exponential smoothing, 85 -- Chapter 9. Brown's one parameter quadratic exponential smoothing, 91 -- Chapter 10. Winters' three parameter linear and seasonal exponential smoothing, 98 -- Chapter 11. Single and linear moving averages, 106 -- Chapter 12. Trend analysis, 120 -- Cases. Utah industrial promotion board, Arizona security Bank, Phoenix City Council, eagle airlines, ferric Processing and Lenex Corporation, 129 -- Chapter 13. S-curve and exponential growth models, 169 -- Chapter 14. Harrison's harmonic smoothing, 184 -- Chapter 15. The classical decomposition method, 198 -- Chapter 16. Census II decomposition method, 210 -- Chapter 17. Generalized adaptive filtering, 226 -- Chapter 18. The Box-Jenkins methodology, 245 -- Cases. Kook Kamp, insead's restaurant and Jackson Hole Airport, 273 -- Chapter 19. Choosing a forecasting method (sibyl), 283 -- Chapter 20. Predicting the cycle, 296 -- Chapter 21. Predicting the longer term trend-cycle growth, 324 -- Chapter 22. Tracking trend-cycle and budget movements, 338 -- Cases. Perrins Freres, basic metals and CFE specialty writing papers, 347 -- Chapter 23. Multiple regression, 363 -- Chapter 24. Introduction: multivariate time series analysis and forecasting, 383 -- Chapter 25. Cross autocorrelation analysis, 394 -- Chapter 26. Multivariate Box-Jenkins methodology (transfer functions), 420 -- Chapter 27. Multivariate generalized adaptive filtering, 448 -- Cases. Lyon plate glass, alpha concrete products, Harmon Foods, valley litho, and forecasting IBM stock Prices - Paris exchange, 455 -- Chapter 28. Preparing the executive forecast, 501 -- Chapter 29. Data management, 513 -- Cases. Gruner and jahr, Atwood appliance (a), Shasta timber, Tempo, inc. And Perkin Elmer instrument division, 527 -- References for further study, 561 -- Appendix, Glossary of forecasting terms, 567 -- Index, 643.
Predicciones.
HD 30 .27 / .M35 1978