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| 001 | 9.839905 |
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| 003 | CaOODSP |
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| 005 | 20221107151720 |
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| 007 | cr ||||||||||| |
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| 008 | 170718s1993 onc |o f|0| 0 eng d |
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| 040 | |aCaOODSP|beng |
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| 041 | |aeng|bfre |
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| 043 | |an-cn--- |
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| 086 | 1 |aCS11-617/93-9E-PDF |
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| 100 | 1 |aChen, Zhao-Guo. |
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| 245 | 12|aA nonparametric time series approach for benchmarking survey data |h[electronic resource] / |cby Zhao-Guo Chen, Pierre A. Cholette and Estela Bee Dagum. |
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| 260 | |aOttawa : |bStatistics Canada, |c1993. |
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| 300 | |a20 p. |
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| 490 | 1 |aWorking paper ; |v93-9 |
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| 500 | |aDigitized edition from print [produced by Statistics Canada]. |
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| 500 | |a"Working paper No. BSMD-93-009E." |
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| 500 | |a"July 1993." |
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| 504 | |aIncludes bibliographic references. |
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| 520 | 3 |a"This paper compares the errors of two benchmarking methods, one based on regression by Cholette and Dagum (1989, 1991) and the other based on signal extraction by Hillmer and Trabelsi (1987). The difficulties of finding an ARIMA model in the later method and the resulting implementation problems are discussed. A non-parametric approach to circumvent this problem is proposed. Simulations show the proposed approach is efficient, robust and easy to carry out"--Abstract. |
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| 546 | |aAbstract also in French. |
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| 692 | 07|2gccst|aMethodology |
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| 692 | 07|2gccst|aStatistical analysis |
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| 692 | 07|2gccst|aSurveys |
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| 700 | 1 |aCholette, Pierre-A. (Pierre-Arthur), |d1948- |
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| 700 | 1 |aDagum, Estela Bee. |
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| 710 | 1 |aCanada. |bStatistics Canada. |bMethodology Branch. |
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| 830 | #0|aWorking paper (Statistics Canada. Methodology Branch)|v93-9|w(CaOODSP)9.834763 |
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| 856 | 40|qPDF|s2.33 MB|uhttps://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-617-93-9-eng.pdf |
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