TY  - BOOK
AU  - Makridakis, Spyros G.
TI  - Interactive forecasting: Univariate and multivariate methods 
AV  - HD 30 .27 .M35 1978
PY  - 1978///
CY  - San Francisco, CA
PB  - Holden-Day
KW  - Predicciones
N1  - 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
ER  -