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| 01645cam 2200325za 4500 |
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001 | 9.839566 |
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003 | CaOODSP |
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005 | 20221107151632 |
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007 | cr ||||||||||| |
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008 | 170712s1983 onc |o 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 |aCS11-617/85-8E-PDF |
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100 | 1 |aHidiroglou, M. A. |
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245 | 10|aEstimation of regression parameters for finite populations |h[electronic resource] : |ba Monte-Carlo study / |cMike Hidiroglou. |
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260 | |aOttawa : |bStatistics Canada, |c1983. |
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300 | |a15 p. |
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490 | 1 |aWorking paper ;|v85-8 |
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500 | |aDigitized edition from print [produced by Statistics Canada]. |
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500 | |a"February 1983." |
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504 | |aIncludes bibliographic references. |
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520 | |a"In this paper, small sample properties of regression estimators and their estimated variance will be presented in the context of finite population sampling. That is, stratification and clustering will be taken into account when estimating the finite population regression parameters. Two types of regression procedures will be studied. One where the data are not subject to measurement error and the other where the data is subject to measurement error"--p. 2. |
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692 | 07|2gccst|aMethodology |
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692 | 07|2gccst|aStatistical analysis |
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692 | 07|2gccst|aCensus |
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692 | 07|2gccst|aPopulation |
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710 | 1 |aCanada. |bStatistics Canada. |bMethodology Branch. |
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830 | #0|aWorking paper (Statistics Canada. Methodology Branch)|v85-8|w(CaOODSP)9.834763 |
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856 | 40|qPDF|s2.39 MB|uhttps://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-617-85-8-eng.pdf |
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