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• W2080806013 abstract "Multivariate stratification of sampling units is an important facet of large-scale sample surveys. Traditional univariate methods do not generalize easily. Much progress has been made using clustering algorithms. This paper discusses an algorithm that is useful when constraints are placed on the sizes of the clusters. The Bureau of the Census applied this algorithm for the stratification of primary sampling units during the recent redesign of its current demographic surveys." @default.
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• W2080806013 date "1988-11-01" @default.
• W2080806013 modified "2023-10-02" @default.
• W2080806013 title "Multivariate Stratification with Size Constraints" @default.
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• W2080806013 doi "https://doi.org/10.1137/0909075" @default.
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