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Abstract: We consider the statistical problem of analyzing the association between two categorical variables from cross-classified data. The focus is put on measures which enable one to study the dependencies at a local level and to assess whether the data support some more or less strong association model. (Update)
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BibTeX entry: (Update)
@misc{ bernard-analysis,
author = "J.-M. Bernard",
title = "Analysis of Local or Asymmetric Dependencies in Contingency Tables using
the Imprecise Dirichlet Model",
url = "citeseer.ist.psu.edu/630817.html" }
Citations (may not include all citations):155 Statistical reasoning with imprecise probabilities (context) - WALLEY - 1991
28 Inferences from multinomial data: learning about a bag of ma.. (context) - WALLEY - 1996
24 Measures of association for cross classifications (context) - GOODMAN, KRUSKAL - 1959
6 Inference and Relationship (context) - KENDALL, STUART - 1973
5 Non-parametric inference about an unknown mean using the imp.. (context) - BERNARD - 2001
5 Prediction Analysis of Cross Classifications (context) - HILDEBRAND, LAING et al. - 1977
2 Implicative analysis for multivariate binary data using an i.. (context) - BERNARD - 2002
2 Bayesian interpretation of frequentist procedures for a Bern.. (context) - BERNARD - 1996
1 457--485 (context) - WALLEY, GURRIN et al. - 1996
1 Exact Bayesian analysis of a 2 2 contingency table and Fishe.. (context) - ALTHAM - 1968
1 Developmental inter-relationships among concrete operational.. (context) - JAMISON - 1977
1 Shared picture-book reading: A sequential analysis of adult-.. (context) - DANIS, BERNARD et al. - 2000
1 AND LE ROUX (context) - ROUANET, BERT - 1987
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