- Title
- Confidence regions and approximate p-values for classical and non-symmetric correspondence analysis
- Creator
- Beh, Eric J.; Lombardo, Rosario
- Relation
- Communications in Statistics - Theory and Methods Vol. 44, Issue 1, p. 95-114
- Publisher Link
- http://dx.doi.org/10.1080/03610926.2013.768665
- Publisher
- Taylor & Francis
- Resource Type
- journal article
- Date
- 2015
- Description
- Recently, a procedure was developed for constructing 100(1-a)% confidence ellipses for points in a low-dimensional plot obtained from performing classical correspondence analysis. This article reviews the construction of confidence regions for classical and non symmetric correspondence analysis and proposes a simple procedure for determining p-values of each of the points in this space. Such features enable the researcher to determine the statistical significance of a category to the association structure between the categorical variables being analyzed. They also reflect the information contained in dimensions higher than those that typically allow for a visual inspection of the association structure.
- Subject
- confidence circle; confidence ellipse; correspondence plot; p-value; primary: 62H17, 62H25, 62H15; secondary: 62P15
- Identifier
- http://hdl.handle.net/1959.13/1301508
- Identifier
- uon:20301
- Identifier
- ISSN:0361-0926
- Rights
- This is an Accepted Manuscript of an article published in Communications in Statistics - Theory and Methods on 29/07/2013, available online: http://www.tandfonline.com/10.1080/03610926.2013.768665
- Language
- eng
- Full Text
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