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| 01728cam 2200301za 4500 |
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| 001 | 9.855693 |
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| 003 | CaOODSP |
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| 005 | 20221107155347 |
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| 007 | cr ||||||||||| |
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| 008 | 180424s1991 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 |aCS21-0006/1991E-PDF |
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| 100 | 1 |aLi, L. |
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| 245 | 12|aA multivariate approach to respondent location |h[electronic resource] / |cL. Li, G. Deecker and P. Daoust. |
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| 260 | |a[Ottawa : |bStatistics Canada, |c1991] |
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| 300 | |a[9] p. |
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| 500 | |aDigitized edition from print [produced by Statistics Canada]. |
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| 500 | |aCopy of an article from Spatial issues in statistics, November 12-14, 1991, Ottawa, Ontario, Canada. |
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| 504 | |aIncludes bibliographic references. |
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| 520 | 3 |a"This paper reports on the development of a multivariate approach to the problems of locating respondents and data linkage. The paper describes how addresses, postal codes, telephone numbers, place names and legal land descriptions can be used for locating respondents thus linking data to the appropriate geostatistical area. A strategy for combining these spatial elements to improve locational specificity and robustness is detailed. Decision rules to enhance fault tolerance and for tie breaking are outlined. Finally, the potential utility of the multivariate approach to various survey operations and topics for further research are put forth for consideration"--Abstract. |
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| 692 | 07|2gccst|aMethodology |
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| 692 | 07|2gccst|aCensus data |
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| 700 | 1 |aDeecker, G. |
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| 700 | 1 |aDaoust, P. |
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| 710 | 2 |aStatistics Canada. |
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| 856 | 40|qPDF|s930 KB|uhttps://publications.gc.ca/collections/collection_2018/statcan/CS21-0006-1991-eng.pdf |
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