Over the past decade, a series of procedures has been introduced to estimate, using non-iterative method, linear-by-linear association parameter an ordinal log-linear model. This paper will examine two key non-iteratively determined estimates for analysis between categorical variables that form contingency table; these are log and Beh-Davy estimates, referred simply as LogNI BDNI respectively. ...

— The apparent lack of a history of contingency tables before 1900 is explored, and three explanatory hypotheses are considered for the absence of early development on this topic: computational difficulty, lack of data, and conceptual hurdles. Finally, the importance to this history of the model of quasi-symmetry is briefly noted.

We describe and illustrate NISS-developed optimal tabular release technology, which releases sets of sub-tables of large contingency tables that maximize data utility (in our examples, the number of sub-tables released) subject to a constraint on disclosure risk (tightness of bounds on small-count, risky cells in the underlying table). This approach explicitly accommodates the mandate of Federa...

In the last years minimum phi-divergence estimators (MφE) and phi-divergence test statistics (φTS) have been introduced as a very good alternative to classical likelihood ratio test and maximum likelihood estimator for different statistical problems. The main purpose of this paper is to present an overview of the main results presented until now in contingency tables with symmetry structure on ...

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.

We present a knowledge discovery case study on customer classification having the objective of mining the distinctive characteristics of new customers of a service of tax return. Two general approaches are described. The first one, a symbolic approach, is based on extracting and ranking classification rules on the basis of significativeness measures defined on the 4-fold contingency table of a ...

Methods are developed for eliciting a Dirichlet prior based upon stating bounds on the individual probabilities that hold with high prior probability. This approach to selecting a prior is applied to a contingency table problem where it is demonstrated how to assess the prior with respect to the bias it induces as well as how to check for prior-data conflict. It is shown that the assessment of ...

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