00000nam 2200000za 4500 9.840283 CaOODSP 20221107151814 cr ||||||||||| 170725s1996 onc |o f|0| 0 eng d CaOODSP eng eng fre n-cn--- CS11-617/96-1E-PDF Chen, Zhao-Guo, 1943- A nonparametric method for benchmarking survey data via signal extraction [electronic resource] / by Zhao-Guo Chen, Pierre A. Cholette and Estela Bee Dagum. [Ottawa] : Statistics Canada, 1996. 26 p. Working paper ; 96-1 Digitized edition from print [produced by Statistics Canada]. "Working paper No. BSMD-96-001E." "March 1996." Includes bibliographic references. "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. Abstract also in French. gccst Statistical analysis gccst Methodology gccst Surveys Cholette, Pierre-A. (Pierre-Arthur), 1948- Dagum, Estela Bee. Canada. Statistics Canada. Methodology Branch. Working paper (Statistics Canada. Methodology Branch) 96-1 (CaOODSP)9.834763 PDF 3.03 MB https://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-617-96-1-eng.pdf 11-617 no. 96-01