The focus of this book is on models for contingency table analysis. It deals mainly with log-
linear models and special models for ordinal data (log-linear or nonlinear). Special models …

The ϕ-divergence association models for two-way contingency tables is a family of models
that includes the association and correlation models as special cases. We present this family …

One natural way to measure model adequacy is by using statistical distances as loss
functions. A related fundamental question is how to construct loss functions that are …

Traditional analysis of two-way contingency tables with explanatory and response variables
focuses on the independence of two variables. However, if the variables do not show …

The average age of respondents was 20 years. The number of females was higher (82.8%)
than that of males. Marijuana was the most available and the most commonly used illegal …

In this chapter a Bayesian model comparison procedure of Graphical models in three way
contingency tables using power priors is analysed. So far we have seen a Bayesian model …

Categorical Data Analysis (CDA) is part of the statistical science dealing with categorical
response variables, ie such variables that can be valued with a finite number of possible …

In this work we present Bayesian hypothesis tests for the independence between two
categorical variables in contingency tables. Initially we implement conjugate analysis based …

The association models, appropriate for the analysis of ordinal contingency tables, are
presented for two-way and multi-way contingency tables. Their features, properties, and the …

Logit models for binary, nominal, and ordinal responses are introduced in Chap. 8. In
particular beyond the basic logit model for binary response, the baseline category logit, the …