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BibTeX entry
@Article{Yelland:2010:ICA,
author = "Phillip M. Yelland",
title = "An Introduction to Correspondence Analysis",
journal = j-MATHEMATICA-J,
volume = "12",
number = "1",
pages = "4:1--4:23",
month = "????",
year = "2010",
CODEN = "????",
ISSN = "1047-5974 (print), 1097-1610 (electronic)",
ISSN-L = "1047-5974",
bibdate = "Sat Nov 6 13:34:53 MDT 2010",
bibsource = "http://www.math.utah.edu/pub/tex/bib/mathematicaj.bib;
http://www.mathematica-journal.com/issue/v11i3/",
URL = "http://www.mathematica-journal.com/data/uploads/2010/10/Yelland.pdf",
abstract = "Cross tabulations (also known as cross tabs, or
contingency tables) often arise in data analysis,
whenever data can be placed into two distinct sets of
categories. In market research, for example, we might
categorize purchases of a range of products made at
selected locations; or in medical testing, we might
record adverse drug reactions according to symptoms and
whether the patient received the standard or placebo
treatment.\par
The statistical technique presented in this article,
correspondence analysis, provides a means of
graphically representing the structure of cross
tabulations so as to shed light on the underlying
mechanisms. The article provides a practical
introduction to correspondence analysis in the form of
a five-finger exercise in textual analysis ---
identifying the author of a text given samples of the
works of likely candidates.",
acknowledgement = ack-nhfb,
journal-URL = "http://www.mathematica-journal.com/",
}
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