Journal of the Korean Statistical Society

The Korean Statistical Society (한국통계학회)
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Robust Simple Correspondence Analysis

  • Park, Yong-Seok (Department of Statistics, Research Institute of Information and Communication, Pusan National University) ;
  • Huh, Myung-Hoe (Department of Statistics, Korea University)
  • Published : 1999.09.01
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Abstract

Simple correspondence analysis is a technique for giving a joint display of points representing both the rows and columns of an n$\times$p two-way contigency table. In simple correspondence analysis, the singular value decomposition is the main algebraic tool. But, Choi and Huh(1996) pointed out the singular value decomposition is not robust. Instead, they developed a robust singular value decomposition and provided applications in principal component analysis and biplots. In this article, by using the analogous procedures of Choi and Huh(1996), we derive a robust version of simple correspondence analysis.

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References

  1. Journal of the Korean Statistical Society v.25 Resistant singular value decomposition and its applications Choi, Y. S.;Huh, M. H.
  2. Theory and Applications of Correspondence Analysis Greenacre, M. J.
  3. Correspondence Analysis in Practice Greenacre, M. J.
  4. Principal Component Analysis Jolliffe, I. T.
  5. Multivariate Descriptive Statistical Analysis: Correspondence Analysis and Related Techniques for Large Matrices Lebart, L. Morineau, A.;Warwick, K.
  6. Exploring Data Tables, Trends and Shapes, edited by Hoaglin, D. C., Mosteller, F.,and Tukey, J. W. Robust Regression Li, G.
  7. Multivariate Analysis Mardia, K. V.;Kent, J. T.;Bibby, J. M.