| Titre : |
Statistical forecasting |
| Type de document : |
texte imprimé |
| Auteurs : |
Warren Gilchrist, Auteur |
| Editeur : |
New York, Chichester, Bricebane : John Wiley & Sons |
| Année de publication : |
1976 |
| Importance : |
308 p. |
| Présentation : |
ill. |
| Format : |
24 cm. |
| ISBN/ISSN/EAN : |
978-0-471-99402-2 |
| Langues : |
Anglais (eng) |
| Catégories : |
AUTOMATISME
|
| Index. décimale : |
25-02 Théorie et traitement du signal |
| Résumé : |
The book provides a systematic survey of the amin concepts and methods of statistical forecasting. The is done using an approach and at a level suitable for the person who wishes to apply the methods in practice. The approach is not theoretical and academic but is sufficiently detailed for the person who is actually involved inthe business of forecasting. |
| Note de contenu : |
CONTENTS
PART I PRELIMINARIES
Chapter 1.An introduction to forecasting
Chapter 2.Models
Chapter 3.Forecasting criteria
PART II FORECASTING FOR SOME BASIC MODELS
Chapter 4.The constant mean model
Chapter 5.Linear trend models
Chapter 6. Regression models
Chapter 7. Stochastic models
Chapter 8. Seasonal models
Chapter 9. Growth curves ...
Chapter 10. Probabilistic models
Chapter 11. Multivariate models
PART III: The forecasting process
Chapter 13. Data
Chapter 14. Adaptive methods and other extensions
Chapter 15. The analysis and comparison of methods ...
Chapter 16. Forecast control
Chapter 17. Two-stage forecasting
Chapter 18. Problems in practice
|
Statistical forecasting [texte imprimé] / Warren Gilchrist, Auteur . - New York, Chichester, Bricebane : John Wiley & Sons, 1976 . - 308 p. : ill. ; 24 cm. ISBN : 978-0-471-99402-2 Langues : Anglais ( eng)
| Catégories : |
AUTOMATISME
|
| Index. décimale : |
25-02 Théorie et traitement du signal |
| Résumé : |
The book provides a systematic survey of the amin concepts and methods of statistical forecasting. The is done using an approach and at a level suitable for the person who wishes to apply the methods in practice. The approach is not theoretical and academic but is sufficiently detailed for the person who is actually involved inthe business of forecasting. |
| Note de contenu : |
CONTENTS
PART I PRELIMINARIES
Chapter 1.An introduction to forecasting
Chapter 2.Models
Chapter 3.Forecasting criteria
PART II FORECASTING FOR SOME BASIC MODELS
Chapter 4.The constant mean model
Chapter 5.Linear trend models
Chapter 6. Regression models
Chapter 7. Stochastic models
Chapter 8. Seasonal models
Chapter 9. Growth curves ...
Chapter 10. Probabilistic models
Chapter 11. Multivariate models
PART III: The forecasting process
Chapter 13. Data
Chapter 14. Adaptive methods and other extensions
Chapter 15. The analysis and comparison of methods ...
Chapter 16. Forecast control
Chapter 17. Two-stage forecasting
Chapter 18. Problems in practice
|
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