000 01939nam  2200361za 4500
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008170801s2003    onc    |o    f|0| 0 eng d
040 |aCaOODSP|beng
041 |aeng|bfre
043 |an-cn---
0861 |aCS11-617/2003-6E-PDF
1001 |aChen, Zhao-Guo,|d1943-
24510|aComparison of benchmarking methods with and without survey error modelling |h[electronic resource] / |cby Zhao-Guo Chen and Ka Ho Wu.
260 |a[Ottawa] : |bStatistics Canada, |c2003.
300 |a23 p.
4901 |aWorking paper ; |v2003-6
500 |aDigitized edition from print [produced by Statistics Canada].
500 |a"BSMD-2003-006E."
500 |a"November 2003."
504 |aIncludes bibliographic references.
520 |a"In this paper, we will show the relationship among three types of benchmarking methods in the literature, namely the Denton (original and modified), the regression, and the signal extraction methods. Assuming the survey error series follows an AR(1) model, by simulation, we investigate the impacts of mis-specification of the model on the benchmarking predictions based on the criterion of minimizing root-mean-squared error of prediction. It is concluded that the survey error modelling procedure proposed by Chen and Wu (2000, 2001) may lead to results as good as those obtained from using the true survey error models"--Abstract.
546 |aAbstract also in French.
69207|2gccst|aStatistical analysis
69207|2gccst|aMethodology
69207|2gccst|aSurveys
7001 |aWu, Ka Ho Eden.
7101 |aCanada. |bStatistics Canada. |bMethodology Branch.
830#0|aWorking paper (Statistics Canada. Methodology Branch)|v2003-6|w(CaOODSP)9.834763
85640|qPDF|s3.26 MB|uhttps://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-617-2003-6-eng.pdf