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| 01993cam 2200373za 4500 |
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| 001 | 9.840283 |
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| 003 | CaOODSP |
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| 005 | 20221107151814 |
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| 007 | cr ||||||||||| |
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| 008 | 170725s1996 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 |aCS11-617/96-1E-PDF |
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| 100 | 1 |aChen, Zhao-Guo,|d1943- |
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| 245 | 12|aA nonparametric method for benchmarking survey data via signal extraction |h[electronic resource] / |cby Zhao-Guo Chen, Pierre A. Cholette and Estela Bee Dagum. |
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| 260 | |a[Ottawa] : |bStatistics Canada, |c1996. |
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| 300 | |a26 p. |
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| 490 | 1 |aWorking paper ; |v96-1 |
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| 500 | |aDigitized edition from print [produced by Statistics Canada]. |
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| 500 | |a"Working paper No. BSMD-96-001E." |
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| 500 | |a"March 1996." |
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| 504 | |aIncludes bibliographic references. |
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| 520 | |a"This paper compares two benchmarking methods, one based on regression modelling by Cholette and Dagum (1994) and the other based on ARIMA modelling signal extraction by Hillmer and Trabelsi (1987). The difficulties in the latter method of finding ARIMA models for the target series and the resulting implementation problems are discussed. A nonparametric approach to circumvent this problem is proposed, and more general models for estimating and benchmaking repeated survey data are introduced. Simulations show the proposed method and models are efficient and easy to implement"--Abstract. |
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| 546 | |aAbstract also in French. |
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| 692 | 07|2gccst|aStatistical analysis |
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| 692 | 07|2gccst|aMethodology |
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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)|v96-1|w(CaOODSP)9.834763 |
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| 856 | 40|qPDF|s3.03 MB|uhttps://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-617-96-1-eng.pdf |
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