A Comparison of Different Methods for Representing Categorical Data

References

• Aitchison , J. ( 1986 ) The Statistical Analysis of Compositional Data . London : Chapman and Hall .
   Google Scholar
• Aitchison , J. , Greenacre , M. J. ( 2002 ). Biplots of compositional data . Appl. Statist. 51 : 375 – 392 . [CSA]
   Web of Science ®Google Scholar
• Arenas , C. , Cuadras , C. M. ( 2004 ). Comparing two methods for joint representation of multivariate data . Commun. Statist. Simul. Computat. 33 : 415 – 430 . [CROSSREF] [CSA]
   Web of Science ®Google Scholar
• Benzécri , J. P. ( 1973 ). L'Analyse des Données. I. La Taxinomie. II. L'Analyse des Correspondances . Paris : Dunod .
   Google Scholar
• Cox , T. F. , Cox , M. A. A. ( 1994 ). Multidimensional Scaling . London : Chapman and Hall .
   Google Scholar
• Cuadras , C. M. , Fortiana , J. , Greenacre , M. J. ( 2000 ). Continuous extensions of matrix formulations in correspondence analysis, with applications to the FGM family of distributions . In: Heijmans , R. D. H. , Pollock , D. S. G. , Satorra , A. , eds. Innovations in Multivariate Statistical Analysis . Dordrecht : Kluwer Academic Publishers , pp. 101 – 116 .
   Google Scholar
• Gifi , A. ( 1990 ). Nonlinear Multivariate Analysis . New York : John Wiley .
   Google Scholar
• Gower , J. C. , Hand , D. J. (1996). Biplots . London : Chapman and Hall.
   Google Scholar
• Greenacre , M. J. ( 1984 ) Theory and Applications of Correspondence Analysis . London : Academic Press .
   Google Scholar
• Greenacre , M. J. ( 1993 ). Correspondence Analysis in Practice . London : Academic Press .
   Google Scholar
• Greenacre , M. J. ( 2001 ). Scaling: correspondence analysis . In: Smelser , N. J. Baltes , P. B. , eds. International Encyclopedia of the Social & Behavioral Sciences . Oxford : Elsevier Ltd. , pp. 13,508 – 13,512 .
   Google Scholar
• Greenacre , M. J. ( 2002 ). Ratio maps and correspondence analysis . In: Economics Working Papers . Vol. 598 . Universitat Pompeu Fabra .
   Google Scholar
• Hastie , T. , Tibshirani , R. J. ( 1990 ). Generalized Additive Models . London : Chapman and Hall .
   Google Scholar
• Hill , M. O. ( 1973 ). Reciprocal averaging: an eigenvector method of ordination . J. Ecol. 61 : 237 – 249 . [CSA]
   Web of Science ®Google Scholar
• Mardia , K. V. , Kent , J. T. , Bibby , J. M. ( 1979 ). Multivariate Analysis . London : Academic Press .
   Google Scholar
• Matusita , K. ( 1955 ). Decision rules based on the distance for problems of fit, two samples and estimation . Ann. Mathemat. Statist. 26 : 631 – 640 . [CSA]
   Google Scholar
• Rao , C. R. ( 1948 ). The utilization of multiple measurements in problems of biological classification (with discussion) J. Roy. Statist. Soc. Ser. B 10 : 159 – 193 . [CSA]
   Google Scholar
• Rao , C. R. ( 1995 ) A review of canonical coordinates and an alternative to correspondence analysis using Hellinger distance . Qüestiió 19 : 23 – 63 . [CSA]
   Google Scholar
• Seal , H. L. ( 1964 ). Multivariate Statistical Analysis for Biologists . London : Methuen and Co. Ltd.
   Google Scholar
• van der Heijden , P. G. M. , de Leeuw , J. ( 1985 ). Correspondence analysis used complementary to loglinear analysis . Psychometrika 50 : 429 – 447 . [CROSSREF] [CSA]
   Web of Science ®Google Scholar