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Multivariate Stratification under Consideration of Outliers
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 Title & Authors
Multivariate Stratification under Consideration of Outliers
Park, Jin-Woo; Yun, Seok-Hoon;
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 Abstract
Most of the sample surveys conducted by several statistics preparation agencies are multipurpose surveys inquiring into several distinguishing items through a single sample. In a multipurpose sample design, the stratification tends to be very complex since the stratification variables which are both multivariate and heterogeneous must be considered collectively. In this paper we point out an outlier effect in a multivariate stratification to which the K-means clustering method is applied and propose to consider outliers prior to the stratification step. We also show an empirical stratification effect under consideration of outliers through a case study of sample design for The Rural Living Indicators.
 Keywords
Multipurpose survey;stratification;outlier;K-means clustering method;
 Language
Korean
 Cited by
1.
κ-공간중위 군집방법을 활용한 층화방법,손순철;전명식;

응용통계연구, 2009. vol.22. 4, pp.677-686 crossref(new window)
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