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A nonparametric time series approach for benchmarking survey data / by Zhao-Guo Chen, Pierre A. Cholette and Estela Bee Dagum.: CS11-617/93-9E-PDF

"This paper compares the errors of two benchmarking methods, one based on regression by Cholette and Dagum (1989, 1991) and the other based on signal extraction by Hillmer and Trabelsi (1987). The difficulties of finding an ARIMA model in the later method and the resulting implementation problems are discussed. A non-parametric approach to circumvent this problem is proposed. Simulations show the proposed approach is efficient, robust and easy to carry out"--Abstract.

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.839905&sl=0

Publication information
Department/Agency
  • Canada. Statistics Canada. Methodology Branch.
TitleA nonparametric time series approach for benchmarking survey data / by Zhao-Guo Chen, Pierre A. Cholette and Estela Bee Dagum.
Series title
  • Working paper ; 93-9
Publication typeMonograph - View Master Record
Language[English]
FormatDigital text
Electronic document
Note(s)
  • Digitized edition from print [produced by Statistics Canada].
  • "Working paper No. BSMD-93-009E."
  • "July 1993."
  • Includes bibliographic references.
  • Abstract also in French.
Publishing information
  • Ottawa : Statistics Canada, 1993.
Author / Contributor
  • Chen, Zhao-Guo.
  • Cholette, Pierre-A. (Pierre-Arthur), 1948-
  • Dagum, Estela Bee.
Description20 p.
Catalogue number
  • CS11-617/93-9E-PDF
Departmental catalogue number11-617 no. 93-09
Subject terms
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