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| 001 | 9.916556 |
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| 003 | CaOODSP |
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| 005 | 20221107183450 |
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| 006 | m o d f |
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| 007 | cr |n||||||||| |
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| 008 | 221024e200111##onca ob f000 0 eng d |
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| 040 | |aCaOODSP|beng|erda|cCaOODSP |
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| 041 | 0 |aeng|beng|bfre |
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| 043 | |an-cn--- |
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| 086 | 1 |aCS11-617/2001-13E-PDF |
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| 100 | 1 |aChen, Zhao-Guo,|d1943- |eauthor. |
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| 245 | 10|aSurvey error modelling in the presence of benchmarks / |cby Zhao-Guo Chen and Ka Ho Wu. |
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| 264 | 1|a[Ottawa] : |bStatistics Canada, Methodology Branch, Time Series Research and Analysis Centre, Business Survey Methods Division, |cNovember 2001. |
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| 300 | |a1 online resource (41 pages) : |billustrations. |
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| 336 | |atext|btxt|2rdacontent |
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| 337 | |acomputer|bc|2rdamedia |
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| 338 | |aonline resource|bcr|2rdacarrier |
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| 490 | 1 |aWorking paper ; |vno. BSMD-2001-013E |
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| 500 | |aDigitized edition from print [by Statistics Canada]. |
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| 500 | |aIncludes abstract in English and French. |
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| 504 | |aIncludes bibliographical references (pages 40-41). |
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| 520 | |aData 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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| 650 | 0|aAnalysis of variance. |
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| 650 | 0|aError analysis (Mathematics) |
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| 650 | 6|aAnalyse de variance. |
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| 650 | 6|aThéorie des erreurs. |
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| 710 | 2 |aStatistics Canada, |eissuing body |
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| 830 | #0|aWorking paper (Statistics Canada. Methodology Branch)|vBSMD-2001-013E. |w(CaOODSP)9.834763 |
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| 856 | 40|qPDF|s3.91 MB|uhttps://publications.gc.ca/collections/collection_2022/statcan/CS11-617-2001-13-eng.pdf |
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