A nonparametric time series approach for benchmarking survey data: CS11-617/93-9E-PDF
"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.
|Department/Agency||Statistics Canada. Methodology Branch.|
|Title||A nonparametric time series approach for benchmarking survey data|
|Series Title||Working paper ;|
|Publication Type||Series - View Master Record|
|Electronic Document|| |
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|Note||Digitized edition from print [produced by Statistics Canada]. "Working paper No. BSMD-93-009E." "July 1993."|
|Number of Pages||20 p.|
|Departmental Catalogue Number||11-617 no. 93-09|
|Subject Terms||Methodology, Statistical analysis, Surveys|
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