References
- Agresti, A. (1990). Analysis of Categorical Data. Wiley: New York.
- Beh, E.J. (2001). Partitioning Pearson's chi-squared statistic for singly ordered two-way contingency tables. Aust. N. Z. J. Stat. 43:327–333.
- Beh, E.J., Lombardo, R. (2014). Correspondence Analysis: Theory, Practice and New Strategies. Chichester: Wiley.
- D'Ambra, L., Lauro, N. (1989). Non symmetrical analysis of three-way contingency tables. In: Coppi, R., Bolasco, S., eds. Multiway Data Analysis. North Holland: Amsterdam.
- D'Ambra, L., Beh, E.J., Amenta, P. (2005). Catanova for two-way contingency tables with ordinal variables using orthogonal polynomials. Commun. Statist. Theory Methods 34:1755–1969.
- D'Ambra, L., D'Ambra, A., Sarnacchiaro, P. (2012). Visualising main effects and interaction in multiple non symmetric correspondence analysis. J. Appl. Stat. 39:2165–2175.
- D'Ambra, A., Crisci, A. (2014). Ellipses confidence in decomposition multiple non symmetrical correspondence analysis. Commun. Statist. Theory Methods. 43:1209–1221.
- Emerson, P.L. (1968). Numerical construction of orthogonal polynomials from a general recurrence formula. Biometrics 24:695–701.
- Goodman, L.A., Kruskal, W.H. (1954). Measures of association for cross-classifications. J. Am. Stat. Assoc. 49:732–764.
- Gray, L.N., Williams, J.S. (1975). Goodman and Kruskal's Tau B: Multiple and partial analogy. Proceedings of the Social Statistics Section. J. Am. Stat. Assoc. 70:444–448.
- Light, R.J., Margolin, B.H. (1971). An analysis of variance for categorical data. J. Am. Stat. Assoc. 66:534–544.
- Moore, J.C., Krupat, E. (1971). Relationship between source status, authoritarianism and conformity in social setting. Sociometry 34:122–134.
- Onukogu, I.B. (1985a). An analysis of variance of nominal data. Biom. J. 27:375–384.
- Onukogu, I.B. (1985b). Reasoning by analogy from ANOVA to CATANOVA. Biom. J. 27:839–849.
- Singh, B. (1993). On the analysis of variance method for nominal data. Sankhya B. 55:40–47.
- Singh, B. (1996). On CATANOVA method for analysis of two-way classified nominal data. Sankhya B. 58:379–388.
- Takane, Y., Shibayama, T. (1991). Principal component analysis with external information on both subjects and variables. Psychometrika, 56:97–120.