Benchmarking, temporal distribution, and reconciliation methods for time series
In modern economies, time series play a crucial role at all levels of activity. They are used by decision makers to plan for a better future, by governments to promote prosperity, by central banks to control inflation, by unions to bargain for higher wages, by hospital, school boards, manufacturers,...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Schriftenreihe: | Lecture notes in statistics
186 |
| Schlagworte: | |
| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Description d'après consultation du 10 mars 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Benchmarking, temporal distribution, and reconciliation methods for time series, Estela Bee Dagum, Pierre A. Cholette, New York, Springer, 2006, 1 vol. (XIII-409 p.), Lecture notes in statistics, 0-387-31102-5 |
Inhaltsangabe:
- The Components of Time Series The Cholette-Dagum Regression-Based Benchmarking Method The Additive Model Covariance Matrices for Benchmarking and Reconciliation Methods The Cholette-Dagum Regression-Based Benchmarking Method - The Multiplicative Model The Denton Method and its Variants Temporal Distribution, Interpolation and Extrapolation Signal Extraction and Benchmarking Calendarization A Unified Regression-Based Framework for Signal Extraction, Benchmarking and Interpolation Reconciliation and Balancing Systems of Time Series Reconciling One-Way Classified Systems of Time Series Reconciling the Marginal Totals of Two-Way Classified Systems of Series Reconciling Two-Way Classifed Systems of Series