00000nam 2200000za 4500 9.837182 CaOODSP 20221107151058 cr ||||||||||| 170524s1995 onc |o f|0| 0 eng d CaOODSP eng eng fre n-cn--- CS11-613/95-1E-PDF Pandher, Gurupdesh S. Skewed survey populations [electronic resource] : optimal construction of "take-all" and "sampled" groups with application to the local government finance survey re-design / Gurupdesh S. Pandher. [Ottawa] : Statistics Canada, 1995. 35 p. Working paper ; 95-1 "SSMD-95-001." "March 1995." Digitized edition from print [produced by Statistics Canada]. Includes bibliographic references. "In a survey re-engineering context, the most optimal sample design and estimation strategy holds the promise of offering the largest reduction in the sample size (and survey costs). In this paper, a scheme called the "Transfer Algorithm" is proposed to address the problem of finding an optimal demarcation between the "take-all" and "sampled" groups in surveys of skewed populations (eg. business, agricultural populations). The criterion for constructing these groups is based directly on minimizing the design variance of the regression estimator under a flexible range of sample designs (eg. SRS, pps, stratified). The proposed method also explicitly captures the size-induced heteroscedasticity evident in skewed populations in the determination of the optimal demarcation"--Abstract. Prefatory material in English and French. gccst Surveys gccst Methodology Canada. Statistics Canada. Social Survey Methods Division. Working paper (Statistics Canada. Methodology Branch) 95-1 (CaOODSP)9.834763 PDF 4.38 MB https://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-613-95-1-eng.pdf 11-613E