A nonparametric method for benchmarking survey data via signal extraction / by Zhao-Guo Chen, Pierre A. Cholette and Estela Bee Dagum. : CS11-617/96-1E-PDF
"This paper compares two benchmarking methods, one based on regression modelling by Cholette and Dagum (1994) and the other based on ARIMA modelling signal extraction by Hillmer and Trabelsi (1987). The difficulties in the latter method of finding ARIMA models for the target series and the resulting implementation problems are discussed. A nonparametric approach to circumvent this problem is proposed, and more general models for estimating and benchmaking repeated survey data are introduced. Simulations show the proposed method and models are efficient and easy to implement"--Abstract.
Lien permanent pour cette publication :
publications.gc.ca/pub?id=9.840283&sl=1
| Ministère/Organisme | Canada. Statistics Canada. Methodology Branch. |
|---|---|
| Titre | A nonparametric method for benchmarking survey data via signal extraction / by Zhao-Guo Chen, Pierre A. Cholette and Estela Bee Dagum. |
| Titre de la série | Working paper ; 96-1 |
| 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-96-001E." "March 1996." Includes bibliographic references. Abstract also in French. |
| Information sur la publication | [Ottawa] : Statistics Canada, 1996. |
| Auteur / Contributeur | Chen, Zhao-Guo,1943- Cholette, Pierre-A. (Pierre-Arthur), 1948- Dagum, Estela Bee. |
| Description | 26 p. |
| Numéro de catalogue |
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| Numéro de catalogue du ministère | 11-617 no. 96-01 |
| Descripteurs | Statistical analysis Methodology Surveys |