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EnglishTaguchi'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.
| Titolo: | Correspondence Analysis of Cumulative Frequencies using a Decomposition of Taguchi's Statistic |
| Autori interni: | |
| Data di pubblicazione: | 2011 |
| Rivista: | |
| 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. |
| Handle: | http://hdl.handle.net/20.500.12070/2222 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| Communication in Statistics - Pubblicato.pdf | N/A | Non specificato | Administrator Richiedi una copia |
http://hdl.handle.net/20.500.12070/2222
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