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http://dx.doi.org/10.5351/KJAS.2007.20.2.387

A Study on the Use of Cluster Analysis for Multivariate and Multipurpose Stratification  

Park, Jin-Woo (Department of Applied Statistics, The University of Suwon)
Yun, Seok-Hoon (Department of Applied Statistics, The University of Suwon)
Kim, Jin-Heum (Department of Applied Statistics, The University of Suwon)
Jeong, Hyeong-Chul (Department of Applied Statistics, The University of Suwon)
Publication Information
The Korean Journal of Applied Statistics / v.20, no.2, 2007 , pp. 387-394 More about this Journal
Abstract
This paper considers several stratification strategies for multivariate and multipurpose survey with several quantitative stratification variables. We propose three methods of stratification based on, respectively, the method of cumulative frequency square root which is the most popular one in univariate stratification, cluster analysis, and factor analysis followed by cluster analysis. We then compare the efficiency of those methods using the Dong-Eup-Myun data of the holding numbers of farming machines, extracted from the 2001 Agricultural Census. It turned out that the method based on cluster analysis with factor analysis would be a relatively satisfactory strategy.
Keywords
Multivariate survey; stratification; method of cumulative frequency square root; factor analysis; cluster analysis;
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