Variability assessment of qualitative data has an important role in diverse areas such as
sociology, quality engineering, healthcare, decision making, genetics, metrology in …

For more than 20 years, variants of correspondence analysis have arisen that accommodate
for the structure of ordered categorical variables using orthogonal polynomials. When the …

In this paper we describe a general framework to decompose three-way association
measures for contingency tables, in particular symmetric and non-symmetric measures will …

In situations where the structure of one of the variables of a contingency table is ordered
recent theory involving the augmentation of singular vectors and orthogonal polynomials …

Non-symmetric correspondence analysis (NSCA) is a useful technique for analysing a two-
way contingency table. Frequently, the predictor variables are more than one; in this paper …

This paper analyses the non-symmetrical association among some key-words in a food
context, given the European countries and gender of participants to a survey. The aim is to …

By the early 1990s, the term “data mining” had come to mean the process of finding
information in large data sets. In the framework of the Total Quality Management, earlier …

Zero partial association models correspond to the conditional independence relation of a
variable pair, given the rest of variables in the model. For determining the model that best fits …

In the process of statistical modeling, the descriptive modeling plays an essential role in
accelerating the formulation of plausible hypotheses in the subsequent explanatory …

In real-life, most experimental data are presented in frequencies with no underlying metric
probably because of some reasons such as less susceptibility to observational errors …