A generalized dynamic stochastic model for the interpolation, extrapolation and benchmarking of time series / by Pierre A. Cholette, Estela Bee Dagum and Zhao-Guo Chen. : CS11-617/97-3E-PDF

"Time series data are often subject to statistical adjustments needed to increase accuracy, replace missing values and/or facilitate data analysis. Common adjustments made to original observations are signal extraction (e.g. seasonal adjustment), benchmarking, interpolation and extrapolation. In this document, we present a general dynamic stochastic regression model, from which all these adjustments can be performed simultaneously. Furthermore, we extend current methods to include those cases where the signal follows a mixed model (deterministic and stochastic components) and the errors are autocorrelated and heteroscedastic"--Abstract.

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publications.gc.ca/pub?id=9.840618&sl=1

Renseignements sur la publication
Ministère/Organisme Canada. Statistics Canada. Methodology Branch.
Titre A generalized dynamic stochastic model for the interpolation, extrapolation and benchmarking of time series / by Pierre A. Cholette, Estela Bee Dagum and Zhao-Guo Chen.
Titre de la série Working paper ; 97-3
Type de publication Série - Voir l'enregistrement principal
Langue [Anglais]
Format Électronique
Document électronique
Note(s) Digitized edition from print [produced by Statistics Canada].
"Working Paper No. BSMD-97-003E."
"June 1997."
Includes bibliographic references.
Abstract also in French.
Information sur la publication Ottawa : Statistics Canada, 1997.
Auteur / Contributeur Cholette, Pierre-A. (Pierre-Arthur), 1948-
Dagum, Estela Bee.
Chen, Zhao-Guo,1943-
Description 44 p.
Numéro de catalogue
  • CS11-617/97-3E-PDF
Numéro de catalogue du ministère 11-617E no. 97-03
Descripteurs Methodology
Statistical analysis
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