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ISIPTA
2003
IEEE

Analysis of Local or Asymmetric Dependencies in Contingency Tables using the Imprecise Dirichlet Model

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Analysis of Local or Asymmetric Dependencies in Contingency Tables using the Imprecise Dirichlet Model
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. Statistical inference is envisaged using an imprecise Dirichlet model. Keywords association, logical model, directional association model, statistical inference, upper and lower probabilities, IDM, prior ignorance, Bayesian inference
Jean-Marc Bernard
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where ISIPTA
Authors Jean-Marc Bernard
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