Comparison of benchmarking methods with and without survey error modelling / by Zhao-Guo Chen and Ka Ho Wu. : CS11-617/2003-6E-PDF

"In this paper, we will show the relationship among three types of benchmarking methods in the literature, namely the Denton (original and modified), the regression, and the signal extraction methods. Assuming the survey error series follows an AR(1) model, by simulation, we investigate the impacts of mis-specification of the model on the benchmarking predictions based on the criterion of minimizing root-mean-squared error of prediction. It is concluded that the survey error modelling procedure proposed by Chen and Wu (2000, 2001) may lead to results as good as those obtained from using the true survey error models"--Abstract.

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Renseignements sur la publication
Ministère/Organisme Canada. Statistics Canada. Methodology Branch.
Titre Comparison of benchmarking methods with and without survey error modelling / by Zhao-Guo Chen and Ka Ho Wu.
Titre de la série Working paper ; 2003-6
Type de publication Série - Voir l'enregistrement principal
Langue [Anglais]
Format Électronique
Document électronique
Note(s) Digitized edition from print [produced by Statistics Canada].
"BSMD-2003-006E."
"November 2003."
Includes bibliographic references.
Abstract also in French.
Information sur la publication [Ottawa] : Statistics Canada, 2003.
Auteur / Contributeur Chen, Zhao-Guo,1943-
Wu, Ka Ho Eden.
Description 23 p.
Numéro de catalogue
  • CS11-617/2003-6E-PDF
Numéro de catalogue du ministère 11-617-XPE no. 0306
Descripteurs Statistical analysis
Methodology
Surveys
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