00000nam 2200000zi 4500 9.916556 CaOODSP 20221107183450 m o d f cr |n||||||||| 221024e200111##onca ob f000 0 eng d CaOODSP eng rda CaOODSP eng eng fre n-cn--- CS11-617/2001-13E-PDF Chen, Zhao-Guo, 1943- author. Survey error modelling in the presence of benchmarks / by Zhao-Guo Chen and Ka Ho Wu. [Ottawa] : Statistics Canada, Methodology Branch, Time Series Research and Analysis Centre, Business Survey Methods Division, November 2001. 1 online resource (41 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Working paper ; no. BSMD-2001-013E Digitized edition from print [by Statistics Canada]. Includes abstract in English and French. Includes bibliographical references (pages 40-41). 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. Analysis of variance. Error analysis (Mathematics) Analyse de variance. Théorie des erreurs. Statistics Canada, issuing body Working paper (Statistics Canada. Methodology Branch) BSMD-2001-013E. (CaOODSP)9.834763 PDF 3.91 MB https://publications.gc.ca/collections/collection_2022/statcan/CS11-617-2001-13-eng.pdf