00000nam 2200000za 4500 9.839905 CaOODSP 20221107151720 cr ||||||||||| 170718s1993 onc |o f|0| 0 eng d CaOODSP eng eng fre n-cn--- CS11-617/93-9E-PDF Chen, Zhao-Guo. A nonparametric time series approach for benchmarking survey data [electronic resource] / by Zhao-Guo Chen, Pierre A. Cholette and Estela Bee Dagum. Ottawa : Statistics Canada, 1993. 20 p. Working paper ; 93-9 Digitized edition from print [produced by Statistics Canada]. "Working paper No. BSMD-93-009E." "July 1993." Includes bibliographic references. "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. Abstract also in French. gccst Methodology gccst Statistical analysis gccst Surveys Cholette, Pierre-A. (Pierre-Arthur), 1948- Dagum, Estela Bee. Canada. Statistics Canada. Methodology Branch. Working paper (Statistics Canada. Methodology Branch) 93-9 (CaOODSP)9.834763 PDF 2.33 MB https://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-617-93-9-eng.pdf 11-617 no. 93-09