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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series
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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series

Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series

Estela Bee Dagum, Pierre A. Cholette - Collection Lecture Notes in Statistics

410 pages, parution le 30/04/2006

Résumé

Time series play a crucial role in modern economies at all levels of activity and are used by decision makers to plan for a better future. Before publication time series are subject to statistical adjustments and this is the first statistical book to systematically deal with the methods most often applied for such adjustments. Regression-based models are emphasized because of their clarity, ease of application, and superior results. Each topic is illustrated with real case examples. In order to facilitate understanding of their properties and limitations of the methods discussed a real data example is followed throughout the book.

Sommaire

  • Introduction
  • 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.--Multiplicative Model
  • The Denton Method and its Variants
  • Interpolation, Temporal Distribution and Extrapolation
  • Signal Extraction and Benchmarking
  • Calendarization
  • 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 Classified Systems of Time Series
  • Appendix A: Extended Gauss-Markov Theorem
  • Appendix B: An Alternative Solution for the Cholette-Dagum Model for Binding Benmarks
  • Appendix C: Formulae for Some Recurring Matrix Products
  • Appendix D: Seasonal Regressors
  • Appendix E: Trading-Day Regressors
  • References
  • Index
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Caractéristiques techniques

  PAPIER
Éditeur(s) Springer
Auteur(s) Estela Bee Dagum, Pierre A. Cholette
Collection Lecture Notes in Statistics
Parution 30/04/2006
Nb. de pages 410
Format 15,5 x 23,5
Couverture Broché
Poids 620g
Intérieur Noir et Blanc
EAN13 9780387311029
ISBN13 978-0-387-31102-9

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