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Correspondence Analysis of Cumulative Frequencies Using a Decomposition of Taguchi's Statistic |
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| Authors: | Eric J. Beh Luigi D'ambra Biagio Simonetti |
| Affiliation: | 1. School of Mathematical and Physical Sciences , University of Newcastle , Callaghan , Australia eric.beh@newcastle.edu.au;3. Department of Biological Sciences , University “Federico II” of Naples , Napoli , Italy;4. Dipartimento di Analisi dei Sistemi Economici e Sociali , University of Sannio , Benevento , Italy |
| Abstract: | Taguchi's statistic has long been known to be a more appropriate measure of association for ordinal variables than the Pearson chi-squared statistic. Therefore, there is some advantage in using Taguchi's statistic for performing correspondence analysis when a two-way contingency table consists of one ordinal categorical variable. This article will explore the development of correspondence analysis using a decomposition of Taguchi's statistic. |
| Keywords: | Correspondence analysis Cumulative chi-squared statistic Non-symmetrical correspondence analysis Taguchi's statistic |