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| 01828nam 2200325za 4500 |
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| 001 | 9.852584 |
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| 003 | CaOODSP |
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| 005 | 20221107154622 |
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| 007 | cr ||||||||||| |
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| 008 | 180228s2013 onc #os f|0| 0 eng d |
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| 040 | |aCaOODSP|beng |
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| 043 | |an-cn--- |
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| 086 | 1 |aCS11-619/2013-7E-PDF |
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| 100 | 1 |aGambino, Gioacchino,|d1954- |
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| 245 | 10|aCovariances and correlations in finite population sampling |h[electronic resource] / |cJack Gambino. |
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| 260 | |a[Ottawa] : |bStatistics Canada, |c2013. |
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| 300 | |a17 p. |
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| 490 | 1 |aWorking paper ; |v2013-7 |
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| 500 | |aDigitized edition from print [produced by Statistics Canada]. |
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| 500 | |a"September 2013." |
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| 500 | |a"HSMD-2013-007E." |
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| 504 | |aIncludes bibliographic references. |
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| 520 | 3 |a"Under the design-based framework, the derivation of covariance formulas can be tedious, but not much more tedious than the derivation of variances, which are a special case. in this paper we derive covariances under several simple sample designs, with an emphasis on partially overlapping samples. For simple random sampling, we also compare the design-based covariance to that obtained under the model-based approach. We also briefly look at correlations. The main benefit of the paper may be that it puts into one document several scattered results that are useful to survey statisticians"--Abstract. |
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| 546 | |aAbstract also in French. |
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| 692 | 07|2gccst|aMethodology |
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| 692 | 07|2gccst|aStatistical analysis |
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| 710 | 1 |aCanada. |bStatistics Canada.|bMethodology Branch.|bHousehold Survey Methods Division. |
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| 830 | #0|aWorking paper (Statistics Canada. Methodology Branch)|v2013-7|w(CaOODSP)9.834763 |
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| 856 | 40|qPDF|s5.38 MB|uhttps://publications.gc.ca/collections/collection_2018/statcan/11-613/CS11-619-2013-7-eng.pdf |
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