Elements of forecasting / Francis X. Diebold.
Tipo de material:
TextoDetalles de publicación: Cincinnati, Ohio : South-Western College Publishing, ©1998.Edición: 1a ediciónDescripción: xiii, 392 páginas : ilustraciones ; 23 x 19 centímetrosTipo de contenido: - texto
- sin mediio
- volumen
- 0538862440
- H 61 .4 D55 1998
Contenidos:
1. Introduction to forecasting: applications, methods, books, journals, and software. -- 2. Six considerations basic to successful forecasting. - 3. Statistical graphics for forecasting. -- 4. Modeling and forecasting trend. -- 5. Modeling and forecasting seasonality. -- 6. Characterizing cycles. -- 7. Modeling cycles: MA, AR, and ARMA models. -- 8. Forecasting cycles. -- 9. Putting it all together: a forecasting model with trend, seasonal, and cyclical components. -- 10. Unit roots, stochastic trends, ARIMA forecasting models, and smoothing. -- 11. Forecasting with regression models. -- 12. Evaluating and combining forecasts.
| Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Signatura topográfica | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | |
|---|---|---|---|---|---|---|---|---|---|---|---|
Libros para consulta en sala
|
Biblioteca Antonio Enriquez Savignac | Biblioteca Antonio Enriquez Savignac | COLECCIÓN RESERVA | H 61 .4 D55 1998 (Navegar estantería(Abre debajo)) | 1 | No para préstamo | Ingeniería Industrial | 037523 |
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Incluye bibliografía: páginas 375-383) e índice
1. Introduction to forecasting: applications, methods, books, journals, and software. -- 2. Six considerations basic to successful forecasting. - 3. Statistical graphics for forecasting. -- 4. Modeling and forecasting trend. -- 5. Modeling and forecasting seasonality. -- 6. Characterizing cycles. -- 7. Modeling cycles: MA, AR, and ARMA models. -- 8. Forecasting cycles. -- 9. Putting it all together: a forecasting model with trend, seasonal, and cyclical components. -- 10. Unit roots, stochastic trends, ARIMA forecasting models, and smoothing. -- 11. Forecasting with regression models. -- 12. Evaluating and combining forecasts.
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