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Cuadras, C.M., Fortiana, J. and Greenacre, M. (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. and Satorra, A., Eds., Innovations in Multivariate Statistical Analysis, Kluwer Academic Publishers, Dordrecht, 101-116.
http://dx.doi.org/10.1007/978-1-4615-4603-0_7

has been cited by the following article:

• TITLE: A Unified Approach for the Multivariate Analysis of Contingency Tables

  AUTHORS: Carles M. Cuadras, Daniel Cuadras

  KEYWORDS: Correspondence Analysis, Hellinger Distance, Log-Ratio Analysis, Generalized Pearson Contingency Coefficient, Correspondence Analysis with Cumulative Frequencies

  JOURNAL NAME: Open Journal of Statistics, Vol.5 No.3, April 28, 2015

  ABSTRACT: We present a unified approach to describing and linking several methods for representing categorical data in a contingency table. These methods include: correspondence analysis, Hellinger distance analysis, the log-ratio alternative, which is appropriate for compositional data, and the non-symmetrical correspondence analysis. We also present two solutions working with cummulative frequencies.