In this article we develop an extension of categorical analysis of variance for one response and two factors, based on a partitioning of a measure of predictability for three-way contingency tables, known as Gray and Williams’s index. At the first instance moment the decomposition of this multiple measure of association in partial association measures is shown. Finally, for ordinal-scale variables, we propose an extension of this decomposition using a particular set of orthogonal polynomials
AbstractWhen we work with two three-mode three-way data sets, such as panel data, we often investiga...
One of the most popular, and versatile, ways of visually analyzing the associating between categoric...
The Multiple Non-symmetric correspondence analysis (MNSCA) is a useful technique for analyzing a two...
The analysis of variance of cross-classified (categorical) data (CATANOVA) is a technique designed t...
The analysis of variance of cross-classified (categorical) data (CATANOVA) is a technique designed t...
In the context of categorical data analysis, the CATegorical ANalysis Of Variance (CATANOVA) has bee...
In this paper a new index to analyse the dependence between categorical variables is presented and i...
The Goodman-Kruskal tau index is a popular measure of asymmetry for two-way contingency tables where...
Categorical analysis of variance (CATANOVA) is a statistical method designed to analyse variability ...
For the study of association in three-way, and more generally multiway, contingency tables the liter...
Categorical analysis of variance (CATANOVA) is a statistical method designed to analyse variability ...
We discuss a variety of methods for quantifying categorical multivariate data. These methods have be...
This Ph.D. thesis deals with one of the fundamental problems of categorical data analysis, namely th...
Taguchi's statistic has long been known to be a more appropriate measure of association the dependen...
In situations where the structure of one of the variables of a contingency table is ordered recent t...
AbstractWhen we work with two three-mode three-way data sets, such as panel data, we often investiga...
One of the most popular, and versatile, ways of visually analyzing the associating between categoric...
The Multiple Non-symmetric correspondence analysis (MNSCA) is a useful technique for analyzing a two...
The analysis of variance of cross-classified (categorical) data (CATANOVA) is a technique designed t...
The analysis of variance of cross-classified (categorical) data (CATANOVA) is a technique designed t...
In the context of categorical data analysis, the CATegorical ANalysis Of Variance (CATANOVA) has bee...
In this paper a new index to analyse the dependence between categorical variables is presented and i...
The Goodman-Kruskal tau index is a popular measure of asymmetry for two-way contingency tables where...
Categorical analysis of variance (CATANOVA) is a statistical method designed to analyse variability ...
For the study of association in three-way, and more generally multiway, contingency tables the liter...
Categorical analysis of variance (CATANOVA) is a statistical method designed to analyse variability ...
We discuss a variety of methods for quantifying categorical multivariate data. These methods have be...
This Ph.D. thesis deals with one of the fundamental problems of categorical data analysis, namely th...
Taguchi's statistic has long been known to be a more appropriate measure of association the dependen...
In situations where the structure of one of the variables of a contingency table is ordered recent t...
AbstractWhen we work with two three-mode three-way data sets, such as panel data, we often investiga...
One of the most popular, and versatile, ways of visually analyzing the associating between categoric...
The Multiple Non-symmetric correspondence analysis (MNSCA) is a useful technique for analyzing a two...