Author(s)

Carles M. Cuadras¹, Daniel Cuadras²

¹Department of Statistics, University of Barcelona, Barcelona, Spain.
²Statistical Service, Sant Joan de Deu Research Foundation, Barcelona, Spain.

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.

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

Cuadras, C. and Cuadras, D. (2015) A Unified Approach for the Multivariate Analysis of Contingency Tables. Open Journal of Statistics, 5, 223-232. doi: 10.4236/ojs.2015.53024.