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| 01653nam 2200313za 4500 |
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| 001 | 9.837472 |
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| 003 | CaOODSP |
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| 005 | 20221107151139 |
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| 007 | cr ||||||||||| |
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| 008 | 170531s1989 onc |o f|0| 0 eng d |
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| 040 | |aCaOODSP|beng |
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| 041 | |aeng|bfre |
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| 043 | |an-cn--- |
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| 086 | 1 |aCS11-613/89-19E-PDF |
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| 100 | 1 |aLanglet, E. R. |
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| 245 | 10|aUse of cluster analysis for collapsing imputation classes |h[electronic resource] / |cE. R. Langlet. |
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| 260 | |a[Ottawa] : |bStatistics Canada, |c1989. |
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| 300 | |a14 p. |
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| 490 | 1 |aWorking paper ; |v89-19 |
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| 500 | |aDigitized edition from print [produced by Statistics Canada]. |
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| 500 | |a"Working paper no. SSMD-89-019 E." |
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| 504 | |aIncludes bibliographic references. |
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| 520 | 3 |a"The problem of collapsing the imputation classes defined by a large number of cross-classifications of auxiliary variables is considered. A solution based on cluster analysis to reduce the number of levels of auxiliary variables to a reasonably small number of imputation classes is proposed. The motivation and solution of this general problem are illustrated by the imputation of age in the Hospital Morbidity System where auxiliary variables are sex and diagnosis"--Abstract. |
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| 546 | |aPrefatory material in English and French. |
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| 692 | 07|2gccst|aStatistical analysis |
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| 710 | 1 |aCanada. |bStatistics Canada.|bSocial Survey Methods Division. |
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| 830 | #0|aWorking paper (Statistics Canada. Methodology Branch)|v89-19|w(CaOODSP)9.834763 |
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| 856 | 40|qPDF|s1.32 MB|uhttps://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-613-89-19-eng.pdf |
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