Paramètres
- 290pages
- 11 heures de lecture
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This thoroughly revised second edition of an upper-level undergraduate/graduate text describes many major techniques of forecasting used in economics and business. This is the only time series book to concentrate on the forecasting of economic data and to cover such a broad range of topics. Its key features are: gives a complete description, with applications, of the Box-Jenkins single series modeling techniques; extends the Box-Jenkins techniques to multivariate cases; compares forecasts from purely statistical and econometric models; pays careful attention to such problems as how to evaluate and compare forecasts; covers nonstationary and nonlinear models, co-integration and error-correction models.
Achat du livre
Forecasting in Business and Economics - Second Edition, Clive W. J. Granger
- Langue
- Année de publication
- 1989
- product-detail.submit-box.info.binding
- (rigide),
- État du livre
- Très bon
- Prix
- 3,99 €
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- Titre
- Forecasting in Business and Economics - Second Edition
- Langue
- Anglais
- Auteurs
- Clive W. J. Granger
- Éditeur
- Emerald Publishing Limited
- Publié
- 1989
- Format
- rigide
- Pages
- 290
- ISBN10
- 0122951816
- ISBN13
- 9780122951817
- Séries
- Mots clés
- Nonfiction, Commerce, Affaires & Gestion, Économie, Gestion & Ressources humaines, Prognostique
- Description
- This thoroughly revised second edition of an upper-level undergraduate/graduate text describes many major techniques of forecasting used in economics and business. This is the only time series book to concentrate on the forecasting of economic data and to cover such a broad range of topics. Its key features are: gives a complete description, with applications, of the Box-Jenkins single series modeling techniques; extends the Box-Jenkins techniques to multivariate cases; compares forecasts from purely statistical and econometric models; pays careful attention to such problems as how to evaluate and compare forecasts; covers nonstationary and nonlinear models, co-integration and error-correction models.