A contingency table summarizes the conditional frequencies of two attributes and shows how these two attributes are dependent on each other with the information on a partition of universe generated by these attributes. Thus, this table can be viewed as a relation between two attributes with respect to information granularity. This paper focuses on decomposition of a contingency matrix by using ...

For some time I have wondered why graphical methods for categorical data are so poorly developed and little used compared with methods for quantitative data. For quantitative data, graphical methods are commonplace adjuncts to all aspects of statistical analysis, from the basic display of data in a scatterplot, to diagnostic methods for assessing assumptions and finding transformations, to the ...

We propose in this paper a new approach for applying data mining algorithms, and more particularly supervised machine learning algorithms, to large databases, in acceptable response times. This goal is achieved by integrating these algorithms within a Database Management System. We are thus only limited by disk capacity, and not by available main memory. However, the disk accesses that are nece...

Abstract The Pearson’s $$X^2$$ X 2 statistic and the likelihood ratio $$G^2$$ G are most frequently used for testing independence or homogeneity, in two-way contingency table. These indexes members of a continuous family Power Divergence (PD) statistics...

Expert systems applications that involve uncertain inference can be represented by a multidimensional contingency table. These tables offer a general approach to inferring with uncertain evidence, because they can embody any form of association between any number of pieces of evidence and conclusions. (Simpler models may be required, however, if the number of pieces of evidence bearing on a con...

A consistent categorical database can be viewed as a single contingency table by taking the maximum-entr0p.y extension of its base tables. Such a view, here called the universaf table model, is needed to answer a user who wishes “cross-classified” data, that is, categorical data resulting from the combination of information contained in two or more base tables. In order to implement a universal...

No studies have investigated cross-cultural and cross-language characteristics of depressed speech. We investigated the generalisability of a vocal biomarker-based approach to depression detection in clinical interviews recorded in three countries (Australia, the USA and Germany), two languages (German and English) and different accents (Australian and American). Several approaches to training ...

In a multinomial sampling, contingency tables can be parametrized by probabilities of each cell. These probabilities constitute the joint probability function of two or more discrete random variables. These probability tables have been previously studied from a compositional point of view. The compositional analysis of probability tables ensures coherence when analysing sub-tables. The main res...

Cost overruns are a critical problem for construction projects. The common practice for dealing with cost overruns is the assignment of an arbitrary flat percentage of the construction budget as a contingency fund. This research seeks to identify significant factors that may influence, or serve as indicators of, potential cost overruns. The study uses data on 243 construction projects over a fu...

Inference for multivariate categorical data often proceeds by selecting a log-linear model from a set of competing models or, in a Bayesian approach, by averaging inferences over the set, weighted by posterior probabilities. In this paper, we use permutation invariance as a criterion for constructing a set of models for this purpose, for the common situation when the data form a ‘square’ contin...