A statistical infrastructure based on the concentration measures is presented. It aims at being a consistent system of descriptive parameters with a clear interpretation, summarizing knowledge on distributions of variables in populations of objects. The system requires unified formulas for sets of mixed continuous-categorical variables. These demands are met e.g. by the formulas given in Sec. 3 for the bivariate dependence measures, presented as suitably weighted averages of concentration indices for pairs of conditional distributions. Further, in Sec. 4, a concentration oriented modification of the statistical procedure called correspondence analysis is mentioned and exemplified by applying it to data from the Polish Parliament Elections in 1993 and 1997. Sec. 5 contains remarks on creating an inference and computing system adjusted to this new concentration - based approach to statistical descriptive parameters.
CITATION STYLE
Ciok, A., Kowalczyk, T., & Pleszczyńska, E. (1998). How a new statistical infrastructure induced a new computing trend in data analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1424, pp. 75–82). Springer Verlag. https://doi.org/10.1007/3-540-69115-4_11
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