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,...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York,
2006.
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Σειρά: | Lecture Notes in Statistics,
186 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.