Survey error modelling in the presence of benchmarks / by Zhao-Guo Chen and Ka Ho Wu. : CS11-617/2001-13E-PDF
Data for a socio-economic variable obtained from a repeated survey contain sampling error. Usually estimates of the variance of the error are obtained in the survey process and published; but estimates of the autocorrelation of the error series (equivalently, a fitted time series model) are rarely given. Knowing autocorrelation of the survey error series, some advanced approaches for predicting the variable can work. This paper proposes a method of modelling monthly survey error using annual benchmarks as additional information under a very general model assumption for the variable. The fitted model is thus more data-based than those obtained from secondary analysis (e.g., Scott, Smith and Jones, 1977) where only monthly data are used.
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| Ministère/Organisme | Statistics Canada, issuing body |
|---|---|
| Titre | Survey error modelling in the presence of benchmarks / by Zhao-Guo Chen and Ka Ho Wu. |
| Titre de la série | Working paper ; no. BSMD-2001-013E |
| Type de publication | Série - Voir l'enregistrement principal |
| Langue | [Anglais] |
| Format | Électronique |
| Document électronique | |
| Note(s) | Digitized edition from print [by Statistics Canada]. Includes abstract in English and French. Includes bibliographical references (pages 40-41). |
| Information sur la publication | [Ottawa] : Statistics Canada, Methodology Branch, Time Series Research and Analysis Centre, Business Survey Methods Division, November 2001. |
| Auteur / Contributeur | Chen, Zhao-Guo,1943- author. |
| Description | 1 online resource (41 pages) : illustrations. |
| Numéro de catalogue |
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| Descripteurs | Analysis of variance. Error analysis (Mathematics) Analyse de variance. Théorie des erreurs. |
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