In a two-way contingency table, one is interested in checking the goodness of fit of simple models such as independence, quasi-independence, symmetry, and constant association, and estimating ...
The principle of minimum discrimination information estimation is described and used to generate estimates for tests of hypotheses concerning various interactions and effects in the analysis of ...
Different approaches exist for compensating for probabilistic linkage error when analysing a two-way contingency table for categorical data, where one variable is ...
What is Fisher's exact test? Fisher’s exact test is a statistical hypothesis test used to assess the association between two binary variables in a contingency table and is particularly useful when ...
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