000 01993cam  2200373za 4500
0019.840283
003CaOODSP
00520221107151814
007cr |||||||||||
008170725s1996    onc    |o    f|0| 0 eng d
040 |aCaOODSP|beng
041 |aeng|bfre
043 |an-cn---
0861 |aCS11-617/96-1E-PDF
1001 |aChen, Zhao-Guo,|d1943-
24512|aA nonparametric method for benchmarking survey data via signal extraction |h[electronic resource] / |cby Zhao-Guo Chen, Pierre A. Cholette and Estela Bee Dagum.
260 |a[Ottawa] : |bStatistics Canada, |c1996.
300 |a26 p.
4901 |aWorking paper ; |v96-1
500 |aDigitized edition from print [produced by Statistics Canada].
500 |a"Working paper No. BSMD-96-001E."
500 |a"March 1996."
504 |aIncludes bibliographic references.
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.
546 |aAbstract also in French.
69207|2gccst|aStatistical analysis
69207|2gccst|aMethodology
69207|2gccst|aSurveys
7001 |aCholette, Pierre-A. (Pierre-Arthur), |d1948-
7001 |aDagum, Estela Bee.
7101 |aCanada. |bStatistics Canada. |bMethodology Branch.
830#0|aWorking paper (Statistics Canada. Methodology Branch)|v96-1|w(CaOODSP)9.834763
85640|qPDF|s3.03 MB|uhttps://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-617-96-1-eng.pdf