A new algorithm for estimating the parameters and their asymptotic covariance in correlation and association models

Author:

Aı̈t-Sidi-Allal M.L.,Baccini A.,Mondot A.M.

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference35 articles.

1. Maximum likelihood estimation of parameters subject to restraints;Aitchison;Ann. Math. Statist.,1958

2. Aı̈t-Sidi-Allal, M.L., 1996. Contributions l’étude des modèles d'association dans l'analyse des tables de contingence. Unpublished Ph.D. Dissertation, Université Paul Sabatier, Toulouse, France (in French).

3. Information theory and an extension of the maximum likelihood principle;Akaike,1973

4. Baccini, A., Caussinus, H., de Falguerolles, A., 1993. Analysing dependence in large contingency tables: dimensionality and patterns in scatter plots. In: Cuadras, C.M., Rao, C.R. (Eds.), Multivariate Analysis: Future Directions, Vol. 2. North-Holland, Amsterdam, pp. 245–263.

5. Baccini, A., Caussinus, H., de Falguerolles, A., 1994. Diabolic horseshoes. Nineth International Workshop on Statistical Modelling, Exeter, UK, 11–15 July.

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