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.
Lien permanent pour cette publication :
publications.gc.ca/pub?id=9.839905&sl=1
Ministère/Organisme | Canada. Statistics Canada. Methodology Branch. |
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Titre | A nonparametric time series approach for benchmarking survey data / by Zhao-Guo Chen, Pierre A. Cholette and Estela Bee Dagum. |
Titre de la série | Working paper ; 93-9 |
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-93-009E." "July 1993." Includes bibliographic references. Abstract also in French. |
Information sur la publication | Ottawa : Statistics Canada, 1993. |
Auteur / Contributeur | Chen, Zhao-Guo. Cholette, Pierre-A. (Pierre-Arthur), 1948- Dagum, Estela Bee. |
Description | 20 p. |
Numéro de catalogue |
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Numéro de catalogue du ministère | 11-617 no. 93-09 |
Descripteurs | Methodology Statistical analysis Surveys |