000 02100nam  2200337za 4500
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008170524s1995    onc    |o    f|0| 0 eng d
040 |aCaOODSP|beng
041 |aeng|bfre
043 |an-cn---
0861 |aCS11-613/95-1E-PDF
1001 |aPandher, Gurupdesh S.
24510|aSkewed survey populations |h[electronic resource] : |boptimal construction of "take-all" and "sampled" groups with application to the local government finance survey re-design / |cGurupdesh S. Pandher.
260 |a[Ottawa] : |bStatistics Canada, |c1995.
300 |a35 p.
4901 |aWorking paper ; |v95-1
500 |a"SSMD-95-001."
500 |a"March 1995."
500 |aDigitized edition from print [produced by Statistics Canada].
504 |aIncludes bibliographic references.
5203 |a"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.
546 |aPrefatory material in English and French.
69207|2gccst|aSurveys
69207|2gccst|aMethodology
7101 |aCanada. |bStatistics Canada.|bSocial Survey Methods Division.
830#0|aWorking paper (Statistics Canada. Methodology Branch)|v95-1|w(CaOODSP)9.834763
85640|qPDF|s4.38 MB|uhttps://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-613-95-1-eng.pdf