Over the past few decades correspondence analysis has gained an
international reputation as a powerful statistical tool for the
graphical analysis of contingency tables. This popularity stems
from its development and application in many European countries,
especially France, and its use has spread to English speaking
nations such as the United States and the United Kingdom. Its
growing popularity amongst statistical practitioners, and more
recently those disciplines where the role of statistics is less
dominant, demonstrates the importance of the continuing research
and development of the methodology.
The aim of this paper is to highlight the theoretical, practical
and computational issues of simple correspondence analysis and
discuss its relationship with recent advances that can be used to
graphically display the association in two-way categorical data.
@article{1091543058,
author = {Beh, Eric J.},
title = {Simple Correspondence Analysis: A Bibliographic Review},
journal = {Internat. Statist. Rev.},
volume = {72},
number = {1},
year = {2004},
pages = { 257-284},
language = {en},
url = {http://dml.mathdoc.fr/item/1091543058}
}
Beh, Eric J. Simple Correspondence Analysis: A Bibliographic Review. Internat. Statist. Rev., Tome 72 (2004) no. 1, pp. 257-284. http://gdmltest.u-ga.fr/item/1091543058/