- Title
- Correspondence analysis of cumulative frequencies using a decomposition of Taguchi's statistic
- Creator
- Beh, Eric J.; D'Ambra, Luigi; Simonetti, Biagio
- Relation
- Communications in Statistics: Theory and Methods Vol. 40, Issue 9, p. 1620-1632
- Publisher Link
- http://dx.doi.org/10.1080/03610921003615880
- Publisher
- Taylor & Francis
- Resource Type
- journal article
- Date
- 2011
- Description
- 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.
- Subject
- correspondence analysis; cumulative chi-squared statistic; non-symmetrical correspondence analysis; Taguchi's statistic
- Identifier
- http://hdl.handle.net/1959.13/1053783
- Identifier
- uon:15667
- Identifier
- ISSN:0361-0926
- Rights
- This is an Accepted Manuscript of an article published in Communications in Statistics: Theory and Methods on 16/03/2011, available online: http://www.tandfonline.com/10.1080/03610921003615880
- Language
- eng
- Full Text
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