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Analysis of cross classified data by AIC. (English) Zbl 0443.62040


MSC:

62H17 Contingency tables
62B10 Statistical aspects of information-theoretic topics
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References:

[1] Akaike, H.; Petrov, B. N. (ed.); Csaki, F. (ed.), Information theory and an extension of the maximum likelihood principle, 267-281 (1973), Budapest · Zbl 0283.62006
[2] Akaike, H.; Krishnaiah, P. R. (ed.), On entropy maximization principle, 27-41 (1976), Amsterdam · Zbl 0388.62008
[3] Bishop, Y. M. M. (1969). Full contingency tables, logits and split contingency tables,Biometrics,25, 383-400. · doi:10.2307/2528796
[4] Darroch, J. N. (1962). Interactions in multifactor contingency tables,J. R. Statist. Soc., B24, 251-263. · Zbl 0112.11004
[5] Goodman, L. A. (1970). The multivariate analysis of qualitative data: interactions among multiple classifications,J. Amer. Statist. Ass.,65, 225-256.
[6] Research Committee on the Study of Japanese National Character (1976).Nipponjin no Kokuminsei, sono san (A study of the Japanese National Character, Part III), Shiseido, Tokyo. (In Japanese)
[7] Sakamoto, Y. (1974). A study of the Japanese National Character—Part V.Ann. Inst. Statist. Math., Supplement 8, 1-58.
[8] Sakamoto, Y., A model for the optimal pooling of categories of the predictor in a contingency table (1977), Tokyo
[9] Wermuth, N. (1976). Analogies between multiplicative models in contingency tables and covariance analysis.Biometrics,32, 95-108. · Zbl 0357.62049 · doi:10.2307/2529341
[10] Wermuth, N. (1976). Model search among multiplicative models,Biometrics,32, 253-263. · Zbl 0339.62079 · doi:10.2307/2529496
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